Springer, 2024. — 253 p. — (Big Data Management). — ISBN 978-981-99-9650-6. Аналитика и моделирование пространственно-временных данных: методы и приложения With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors....
O’Reilly Media, 2024. — 107 p. — ISBN 9781098160357. Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. It's becoming increasingly practical to access data through an interface that hides low-level details about where it's stored,...
Sybex, 2021. — 416 p.— ISBN 1119649471, 9781119649472. Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your...
Wiley, 2014. — 456 p. — ISBN: 978-1-118-72796-6. Learn the art and science of predictive analytics — techniques that get results. Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that...
Independently published, 2024. — 305 р. — ISBN 979-8326047427, ASIN B0D4K82P8L, B0D4K1PK8F. In the fast-paced digital age, the ability to harness real-time data and analytics can significantly enhance decision-making processes and elevate user engagement. "Real-Time Data and Analytics: Enhancing Decision-Making and User Engagement" is a comprehensive guide that delves into the...
Information Today, 2015. — 224 p. Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents,...
Wiley, 2025. — 304 p. — ISBN-13 978-1394337842. PDF, EPUB (true) Успешное создание продуктов искусственного интеллекта: и I-Step Framework The Essential Guide to AI and Generative AI Product Creation from a Veteran AI Leader and Educator. In Successful AI Product Creation: A 9-Step Framework, AI product leader, professor of product management and AI, and industry expert, Prof....
Harvard Business Review Press, 2018. — 272 p. — ISBN: 9781633695672. Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a...
O’Reilly Media, 2020. — 120 p. — ISBN: 978-1-492-05427-6. Perhaps you’re an information architect on a mission to make your organization’s data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you...
O’Reilly Media, 2020-08-19. — 306 p. — ISBN: 978-1-492-05427-6. What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos...
O’Reilly Media, Inc., 2025. — 350 p. — ISBN-13: 978-1-098-16683-0. Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding...
O’Reilly Media, 2024. — 391 p. — ISBN: 978-1-098-13686-4. The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's...
Springer, 2017. — 367 p. — ISBN10: 9811070970, ISBN13: 978-9811070976. This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each...
O’Reilly Media, 2023. — 137 р. — ISBN-13: 978-1-098-14385-5. Data has been a missing part of most academic curriculums for a long time, and we’re all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources...
Springer, 2018. — 285 р. — (Advances in Analytics and Data Science). — ISBN: 978-3-319-95663-3. This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field....
McGraw-Hill Education, 2020. — 352 p. — ISBN 1260459144, 9781260459142. Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of...
O’Reilly Media, 2018. — 179 p. — ISBN10: 1492031852, 13 978-1492031857. EPUB (True/HQ) While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is...
Independently published, 2024. — 206 p. — ASIN B0DFQK96Q2. Are you eager to dive into the world of Data Science but unsure where to begin? Do you want to gain the skills to analyze and visualize data like a pro, even if you have no prior experience? Learn Data Science Fundamentals is your comprehensive guide to mastering the foundational concepts of Data Science, equipping you...
NYU Press, September 1, 2003. — 202 р. — (Qualitative Studies in Psychology). — ISBN-13: 978-0814706954. Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research,...
IPSpecialist, 2023. — 896 р. Master the AWS certified data analytics specialty exam of AWS in 7 days! This thorough study guide will assist you in evaluating your technical abilities and preparing for the new AWS Certified Data Analytics test. This AWS certification validates your ability to build and implement AWS services to extract value from data. Business analysts and IT...
Springer, 2022. — 148 p. — (Synthesis Lectures on Intelligent Technologies). — ISBN 978-3-031-08584-0. Decision trees are widely used in many areas of Computer Science and related fields as classifiers, as a means for knowledge representation, and as algorithms to solve various problems. They are studied, in particular, in test theory, rough set theory, and exact learning....
IOP Publishing, 2022. — 246 р. — ISBN-13 9780750348195. — ISBN-10 0750348194. Computer vision and image processing-based systems and their applications are already an integral part of modern living and are expected to increase in prevalence and complexity. Vision system provides the ability to handle and examine the large data generated by cameras and make a decision based on...
Packt, 2019. — 91 p. Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are...
Wiley, 2023. — 546 p. — ISBN 9781119933243, 1119933242. Learn to gather and analyze publicly available data for your intelligence needs. In « Deep Dive: Exploring the Real-world Value of Open Source Intelligence » , veteran open-source intelligence analyst Rae Baker explains how to use publicly available data to advance your investigative OSINT skills and how your adversaries...
Springer Cham, 2022. — 248 p. — eBook ISBN 978-3-031-07865-1. This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation...
Springer, 2020. - 453p. - ISBN: 9811558264 Part 1. This two-volume set (CCIS 1229 and CCIS 1230) constitutes the refereed proceedings of the 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, held in Gurugram, India, in November 2019. The 74 revised full papers presented were carefully reviewed and selected from total 353...
2nd Edition. — CRC Press, 2021. — 631 p. — (Texts in Statistical Science). — ISBN 9780429200717. From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The...
IOP Publishing, 2024. — 277 p. — (IOP Series in Next Generation Computing). — ISBN 978-0-7503-5593-3. Edge Intelligence: периферийные вычисления с поддержкой глубокого обучения Edge Intelligence: Deep Learning-enabled edge computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book...
De Gruyter, 2021. — 356 p. — ISBN 978-3-11-067140-7. An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering,...
De Gruyter, 2025. — 149 p. — ISBN: 978-3-11-148937-7. This book examines how participants in governance and public affairs use data and information in defining public problems and their solutions. It is based on 18 in depth interviews with various kinds of participants in the public realm in Canada and the UK, from legislators, interest group representatives, journalists and...
Stokes-Hamilton, 2020. — 164 p. — ISBN: 978-1085827836. Used in universities and biz schools in Finland, Barcelona, USA, Korea, Canada and the Middle East; and in executive trainings of companies like Halliburton TX, Agilent and PropertyFinder, this book will help you to transform data into not just information, but valuable knowledge. In this book, you will learn by example...
Amazon Media, 2020. — 114 p. As a new data scientist, you'd find it easy to use it because of its simple syntax, excellent readability and its increased availability of mining tools that make it easy to handle data. But how would you get started with it? How do you work with it? How do you set it up? If you still have such questions, then this book is all you need. It gives you...
Information Today, 2015. — 380 p. "In this era of Big Data, social media, and floods of unreliable information, 'Googling it' is not enough. In the olden days before search engines, search experts like Robert Berkman used tools, techniques, and diverse information sources to perform deep and reliable research. Today, for those who want to go deeper, to find and validate reliable...
2nd Edition. — Berthold Michael R., Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo. — Springer, 2020. — 433 p. — (Texts in Computer Science). — ISBN: 978-3-030-45574-3 (eBook). Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle...
De Gruyter, 2024. — 520 p. — ISBN 978-3-11-133113-3. The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and...
Springer Singapore, 2023. — 639 p. — ISBN 978-981-99-0549-2. This book features research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29–30, 2022. The book presents original research work in the areas of computational...
ISTE Ltd and John Wiley&Sons, Inc., 2011. — 288 p. — ISBN: 184821233X Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings...
Packt Publishing, 2019. — 377 p. — ISBN: 978-1-78995-941-3. Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The...
SAGE Publications Ltd, 2018. — 662 p. — ASIN B01MZE96SV. 'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea...
Springer, 2019. — 619 p. — (Information Fusion and Data Science). — ISBN: 3030036421. This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making....
2020. — 164 p. Artificial Intelligence is no longer the stuff of science fiction. Half a century of research has resulted in machines capable of beating the best human chess players, and humanoid robots which are able to walk and interact with us. But how similar is this 'intelligence' to our own? Can machines really think? Is the mind just a complicated computer program?...
Springer, 2021. — 203 p. — ISBN 978-981-16-3171-9. This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for...
4th Edition. — Springer, 2020. — 576 p. — Undergraduate Topics in Computer Science — ISBN: 978-1-4471-7493-6 (eBook). This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on...
4th Edition. — Springer, 2014. — 523 p. — ISBN: 978-3-319-03761-5. The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is...
New York: A K Peters/CRC Press, 2021. — 421 p. In Data Sketches , Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to...
CRC Press, 2023. — 249 p. — ISBN: 978-1-003-26324-1. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time , helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared...
Wiley, 2025. — 381 p. — ISBN 9781394253807. True/Retail EPUB Introductory statistics textbook with a focus on Data Science topics such as prediction, correlation, and data exploration. Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and...
Wiley, 2024. — 384 p. — ISBN-13: 978-1394253807. Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data...
Routledge, 2022. — 299 p. — ISBN 9781032066813. Up to 70% and even more of corporate Analytics Efforts fail! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most...
CRC Press, 2020. — 308 p. — ISBN: 978-0-429-34398-8 (ebk). It’s All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has...
Amaxon, 2020. — 243 p. — ISBN N/A; ASIN B08G55426S. Well, you don’t need to be proficient in Python to conduct data analysis in Python. All you need to do is to master five Python libraries to effectively find a solution to a wide array of data analysis problems. So, you need to start learning these libraries one by one. Remember that you don’t have to be a pro at building...
Springer, 2023. — 217 p. — (Advanced Studies in E-Commerce). — ISBN 978-981-99-3587-1. Интеллектуальный анализ больших данных в электронной коммерции Give the preliminary introduction of e-commerce and Big Data analysis. Offers guide to build a programming environment for finishing real operation of analyzing e-commerce Big Data. This book seeks to give readers with a...
Springer, 2018. — 404 p. — ISBN: 978-3-319-95092-1. This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the...
Facet Publishing, 2023. — 142 p. — ISBN 978-1-78330-618-3. Данные Halo: понимание и использование ценности ваших данных The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management. However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data...
CRC Press/Chapman and Hall, 2020. — 545 p. — (Mathematics Series). — ISBN-13: 978-0-367-02705-6. Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power...
Springer, 2015. — 215 p. — ISBN: 978-3319540238. This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different...
Springer, 2021. - 366p. - ISBN: 9783030601034 This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It...
Springer, 2021. — 390 p. — (Advanced Sciences and Technologies for Security Applications). — ISBN 978-3-030-72138-1. This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and...
Springer, Cham, 2022. — 196 p. — ISBN 978-3-030-93088-2 This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master machine learning based on the Python, R, and Java programming platforms. This book first...
Springer, 2023. — 230 p. — (Data-Intensive Research). — ISBN 978-981-19-8003-9. This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this...
Independently published, 2020. — 145 p. With the artificial intelligence (AI) age upon us, many organizations (from startups, nonprofits to large companies) have already started investing in the process to leverage it, allowing them to create competitive advantages never imagined possible before. The difficulty in getting started with AI is what business problems focus on, how...
World Scientific Publishing, 2001. — 925 p. — ISBN: 9789810249731. This is the first handbook to cover comprehensively both software engineering and knowledge engineering - two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software...
World Scientific Publishing, 2002. — 808 p. — ISBN: 9810249748. This handbook comprehensively covers both software engineering and knowledge engineering, and over 60 international experts have contributed to it. Each chapter explores one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of...
Springer, 2020. — 441 p. — (International Series in Operations Research & Management Science Book 290). — ISBN: 978-3-030-43384-0 (eBook). This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and...
McGraw-Hill Education, 2019. — 256 p. The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers...
Springer Cham, 2024. — 196 p. — (Synthesis Lectures on Data, Semantics, and Knowledge). — eBook ISBN 978-3-031-72008-6. Focuses on neural-symbolic integration on KG reasoning to unify the modern representation approaches with traditional symbolic reasoning approaches. Provides a principled theoretical view and gives deep insights to connect knowledge graph algorithms into a...
Institute of Physics Publishing, 2023. — 234 p. — (IOP ebooks Series) — ISBN: 978-0-7503-5015-0. Research methodology is the core component of any valid research. This book provides a guide to conducting research within the broad field of computing. This book is a survival manual that contains a detailed research procedure from the perspective of different computing disciplines...
Springer, 2021. — 315 p. — ISBN 978-3-030-66287-5. This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such...
Manning Publications, 2016. — 320 p. — ISBN10: 1633430030, ISBN13: 9781633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data...
Winton Clem, 2024. — 87 p. — ASIN: B0D64KW2HH. Embark on a journey to master the art and science of data with "Data Analysis and Data Science." This comprehensive guide equips you with the knowledge and skills to extract meaningful insights from data, drive informed decision-making, and fuel innovation in your field. Combining theoretical foundations with practical...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
Packt Publishing, 2018. — 274 p. — ISBN: 978-1788994941. Explore supervised and unsupervised learning techniques and add smart features to your applications Key Features Leverage machine learning techniques to build real-world applications Use the Accord.NET machine learning framework for reinforcement learning Implement machine learning techniques using Accord, nuML, and Encog...
Springer, 2021. — 357 p. — ISBN 978-3030668907. This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced...
Second Edition. — Technics Publications, 2017. — 644 p. — ISBN: 978-1634622349. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that...
2nd edition. — Independently published, 2021. — 584 p. — ASIN B095J177P4. Have you already taken a CDMP (Certified Data Management Professional) Data Management Fundamentals course from a Registered Training Provider? Or Have you self-studied using the DAMA DMBOK2? Are you still not quite confident that you are ready to take the certification exam? If so, you've come to the...
McGraw-Hill, 2023. — 235 р. — ISBN: 978-1-26-428541-9. When managing massive amounts of information is part of your job and daily life, how do you transform a feeling of being overwhelmed into a sense of abundance and empowerment? This groundbreaking guide delivers the practical insights and strategies you need to build a positive relationship with information and excel at work...
Princeton University Press, 2021. — 400 p. — ISBN-10 0691214360; ISBN-13 978-0691214368 An engaging introduction to data science that emphasizes critical thinking over statistical techniques. An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative...
Wiley, 2018. — 393 p. - ISBN: 1119482089 Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to...
Academic Press, 2022. — 292 p. The book explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also...
Manning Publications, 2025. — 392 p. — ISBN-13: 978-1633439658. Причинно-следственный вывод для науки о данных When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. A/B tests or randomized controlled trials are expensive...
2nd Edition. — FT Press Analytics, 2021. — 410 p. — ISBN: 0136738516. Прогнозирующая Аналитика: Интеллектуальный анализ данных Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data...
Springer, 2024. — 299 p. — ISBN 978-3-031-55638-8. This book introduces readers to Big Data analytics. It covers the background to and the concepts of Big Data, Big Data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the Big Data analytics working environments in the first two chapters. The third chapter provides...
Packt, 2020. — 350 p. — ISBN: 9781789538465. Develop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services. Learn Understand the basics of cloud computing and explore GCP components Work with the data ingestion and preprocessing techniques in GCP for machine learning Implement machine learning algorithms with Google Cloud AutoML Optimize TensorFlow...
CRC Press, 2021. — 266 p. — (Artificial Intelligence (AI): Elementary to Advanced Practices). — ISBN 9781000179538. Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various...
Wiley-ISTE, 2021. — 297 p. — ISBN 978-1-78630-673-9. Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make...
Springer, 2019. — 268 p. — ISBN: 978-3-030-00733-1. This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their...
2nd Edition. — Packt Publishing, 2020. — 454 p. — ISBN: 978-1-83898-148-8. Cut through the noise and get real results with a step-by-step approach to learning data visualization with Python You already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on building up your practical...
Wiley, 2019. — 304 p. — ISBN: 1119550505. “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and...
Springer, 2024. — 225 p. — ISBN 978-981-97-7678-8. Clustering, a foundational technique in data analytics, finds diverse applications across scientific, technical, and business domains. Within the theme of “Data Clustering,” this book assumes substantial importance due to its indispensable clustering role in various contexts. As the era of online media facilitates the rapid...
Packt Publishing, 2020. — 369 p. — ISBN: 978-1-83882-632-1. Understand the concepts and methodologies to manage and deliver top-notch data science solutions for your organization Data Science and Machine Learning can transform any organization and open new opportunities. A substantial managerial effort is needed to guide the solution from prototype development to production....
O’Reilly Media, 2024. — 257 p. — ISBN-13: 978-1098154837. Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming...
Elsevier, 2021. — 312 p. — ISBN 978-0128179765. Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in...
Academic Press/Elsevier, 2023. — 330 p. Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing (NLP). The book investigates a range of significant computational techniques which enable data and computer scientists to...
CompreQuest Books, 2024. — 483 p. — (Mastering Database Management Series) Discover the Power of Databases. Unlock the potential of your data with "Database Fundamentals: Strategies for Efficient Access to Information and Enhanced Decision Making." This comprehensive guide is your gateway to mastering database management, a crucial skill in today’s data-driven world. Whether...
O’Reilly, 2020. — 175 p. One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data—fake data generated from real data—that can provide secondary...
Wiley-Scrivener, 2024. — 384 p. Когнитивная аналитика и обучение с подкреплением: теории, методы и приложения (Когнитиви́стика, когнити́вная нау́ка (лат. cognitio «познание») — это междисциплинарное научное направление, объединяющее теорию познания...) The combination of cognitive analytics and Reinforcement Learning is a transformational force in the field of modern...
John Wiley & Sons, Inc., 2015. — 362 p. — ISBN: 978-1-118-83793-1 (ebk). Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective...
2nd Edition. — Springer, 2017. — 365 p. — ISBN: 978-3-319-58486-7; ISBN: 978-3-319-58487-4. This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents,...
Packt Publishing, 2018. — 218 p. — ISBN: 1789136245. MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration. Build...
Springer, 2022. — 251 p. — (Springer Textbooks in Earth Sciences, Geography and Environment). — ISBN 978303096708-6. Основы усвоения данных: единая формулировка задачи оценки состояния и параметров This book summarizes about 75 years of the authors’accumulated experience within the formulation, development, and practical use of advanceddata-assimilation methods. We realize that...
Springer, 2020. — 384 p. — ISBN: 978-3-030-46161-4. The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised...
Academic Press, 2019. — 1209 p. — ISBN: 978-0-12-811216-8. Data Science for Business and Decision-Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the...
Academic Press, 2019. — 1209 p. — ISBN: 978-0-12-811216-8. Data Science for Business and Decision-Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the...
Luiz Paulo Favero, Patrícia Belfiore, Rafael de Freitas Souza. — Academic Press/Elsevier, 2023. — 662 p. — ISBN: 978-0-12-824271-1. Data Science, Analytics and Machine Learning with R explains the principles of data mining and Machine Learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique,...
Springer, 2023. — 197 p. — ISBN 978-3-031-23343-2. Помимо граничных вычислений: Swarm Computing и Ad-hoc Edge Clouds This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture....
O’Reilly Media, 2017. — 168 p. — ISBN: 978-1-491-92846-2. You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through...
Springer, 2018. — 269 p. — ISBN 978-3-319-68992-0. This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business...
Wiley, 2021. — 304 p. — ISBN 978-1119741756. Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and...
Mercury Learning and Information, 2023. — 272 р. — ISBN: 978-1-68392675-7. With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book aims to assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using...
Cham: Springer International Publishing, 2019. — 337 p. — ISBN: 978-3-030-04921-8. This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances,...
Springer, 2018. — 185 p. — ISBN: 978-3319729527. The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of "big data", "Data Science", and "smart cities" changing the world, with the Harvard Business Review describing Data Science as the...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
Springer, 2017. — 109 p. — (SpringerBriefs in Computer Science). — ISBN10: 3319728881, 13 978-3319728889. This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. It is intended...
2nd Edition. — Packt Publishing Ltd., 2020. — 350 p. — ISBN: 978-1-80020-250-4. Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook’s functionality to understand how data science can be applied to solve real-world data problems. From banking and manufacturing through to education and entertainment, using data...
Springer, 2025. — 149 p. — (Engineering Optimization: Methods and Applications). — ISBN 978-981-97-4714-6. Роль природы-восхищенных алгоритмов в реальных жизненных проблемах The book includes nature-inspired optimization techniques and their applications. It offers recent trends in the field of nature-inspired algorithms for solving real-life problems in various fields related...
Springer, 2019. — 302 p. — (Association forWomen in Mathematics Series 17). — ISBN: 978-3-030-11565-4. This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling,...
Springer, 2023. — 617p. — ISBN 978-3-031-10601-9. Элементы уменьшения размерности и многообразного обучения Dimensionality reduction, also known as Manifold Learning, is an area of Machine Learning used for extracting informative features from data for better representation of data or separation between classes. With the explosion of interest and advances in Machine Learning...
2nd Edition. —John Wiley & Sons Australia, Ltd., 2024. — 448 p. — ISBN: 978-1-119-93139-3. A straightforward and engaging approach to data science that skips the jargon and focuses on the essentials In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an...
Apress Media, LLC, 2025. — 549 p. — ISBN-13: 979-8-8688-1183-8. Ensuring data usability is paramount to unlocking a company’s full potential and driving informed decision-making. Part of author Saurav Bhattacharya’s trilogy that covers the essential pillars of digital ecosystems―security, reliability, and usability―this book offers a comprehensive exploration of the fundamental...
Springer Singapore, 2022. — 835 p. — (Lecture Notes in Electrical Engineering. Volume 888). — ISBN 978-981-19-1520-8. This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in...
Deepak Gupta, Siddhartha Bhattacharyya, Ashish Khanna, Kalpna Sagar. — JohnWiley&SonsLtd, 2020. — 432 p. — (Intelligent Signal and Data Processing). — ISBN: 978-1-119-54446-3. This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of...
Bloomsbury Publishing, 2022. — 280 p. — ISBN 978-1-350-13325-9. For many outside of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and interesting...
2nd Edition. — De Gruyter, 2023. — 222 p. This is an introductory course on loss data analysis. By that we mean the determination of the density of the probability of cumulative losses. Even though the main motivations come from applications to the insurance, banking and financial industries, the mathematical problem that we shall deal with appears in many application in...
Palgrave Macmillan, 2023. — 441 p. — (Palgrave Advances in the Economics of Innovation and Technology). — ISBN 978-3-031-35878-4. Прогнозирование с помощью искусственного интеллекта: теория и приложения This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly...
Independently published, 2021. — 389 p. — ISBN 9781783528646. Data is humanity’s most important new resource. It has the capacity to provide insight into every aspect of our lives, the planet and the universe at large; it changes not only what we know but also how we know it. Exploiting the value of data could improve our existence as much as – if not more than – previous...
BCS, The Chartered Institute for IT, 2024. — 507 p. Digital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations. With practical insights and...
MechatronicsLAB, 2025. — 240 p. — ASIN B0DY1KCCYM. Практика Python Seaborn: практическое руководство по визуализации данных "Hands-On Python Seaborn: A Practical Guide to Data Visualization" is your essential guide to mastering data visualization with Seaborn, one of the most powerful and user-friendly Python libraries for creating stunning plots. This book is perfect for data...
By Andy Hayes, 2016. — 147 p. The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the...
Springer, 2023. — 330 p. Data Science is a new discipline of research that is gaining growing interest in both industry and academia. As a result, demand is increasing for Data Science programs for a variety of learners from a variety of disciplines (Data Science, Computer Science, statistics, engineering, life science, social science and humanities) and a variety of levels...
Springer, 2021. — 285 p. — ISBN 978-3-030-79103-2. This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and...
Viking, 2019. — 272 р. — ISBN: 0525560882. A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that...
Springer, 2021. — 373 p. — ISBN 978-3-030-83499-9. This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical...
The MIT Press, 2023. — 336 p. A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning. Reasoning about cause and effect—the consequence of doing one thing versus another—is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated...
Lora Oehlberg, Samuel Huron, Till Nagel, Wesley Willett. — A K Peters/CRC Press, 2022. — 392 p. — ISBN-13: 978-1032182223. Making With Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the practices used by contemporary designers, researchers, and artists who are creating objects, spaces, and experiences imbued with data. Creators of physical...
Alan R. Simon, Allen G. Taylor, Jack A. Hyman, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Lillian Pierson, Luca Massaron, Paul McFedries. — John Wiley & Sons, 2024. — 832 p. — (For Dummies). — ISBN-13: 978-1394244096. Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the...
SAGE Publications, 2017. — 344 p. — ISBN: 978-1506337005. Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students...
2nd Edition. — Springer, 2024. — 255 p. — (Undergraduate Topics in Computer Science). — ISBN 978-3-031-48955-6. This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of Data Science. The coverage spans key concepts from statistics, Machine Learning/Deep Learning and responsible Data Science, useful...
Springer, 2017. — 227 p. — ISBN: 978-3-319-50016-4 This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application...
Technics Publications, 2017. — 256 p. — ISBN: 978-1634622424. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge...
Chapman and Hall/CRC, 2019-11-08. — 713 p. — ISBN-13: 978-0-367-35798-6. Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills...
Springer, 2018. — 126 p. — ISBN: 978-3319755076. This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural...
Springer, 2021. — 352 p. — ISBN 978-3-030-75189-0. This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the...
IGI Global, 2021. - 351p. - ISBN: 9781799854937 Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic...
Jones & Bartlett Learning, 2021. — 668 p. — ISBN 1284180905. Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and operations,...
Elsevier Science & Technology, 2023. — 336 p. — ISBN 978-0-323-91778-0. Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and...
Apress Berkeley, 2023. — 264 p. — eBook ISBN 978-1-4842-9505-2. As a society, we’re in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazon’s Alexa, to...
Springer, 2021. — 225 p. — (Learning Materials in Biosciences). — ISBN 978-3-030-62489-7. This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on...
Karthikeyan A.K., 2020. — 288 p. This book should be seen as my attempt to explain Data Science to my self and nothing more. Will this book rise to professional stature is yet to be seen. I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself.
Wiley, 2021. — 364 p. — ISBN 1119558638. A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data...
The MIT Press, 2021. — 568 p. — ISBN 978-0262045094. A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area...
Manning Publications, 2025. — 416 p. — ISBN-13: 978-1633438415. Learn the technical and soft skills you need to succeed in your career as a data analyst. You’ve learned how to use Python, R, SQL, and the statistical skills needed to get started as a data analyst—so, what’s next? Effective Data Analysis bridges the gap between foundational skills and real-world application. This...
River Publisher, 2024. — 128 p. — ISBN 8770047170. This practical book introduces open-source intelligence (OSINT) and explores how it can be executed in different intelligence scenarios. It covers varying supporting topics, such as online tracking techniques, privacy best practices for OSINT researchers, and practical examples of OSINT investigations. The book also delves into...
BCS Learning & Development Ltd, 2020. — 161 p. — ISBN 978-1-78017-4594. Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms,...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how you...
Springer, 2021. — 355 p. — ISBN 978-3-030-76290-2. This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and...
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman. — CRC Press, 2019. — 536 p. — (Chapman & Hall/Crc Machine Learning & Pattern Recognition). — ISBN 978-1-138-49253-0. “This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is...
CRC, 2019. — 532 p. — ISBN: 1138492531. The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.
Academic Press, 2010. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs...
BPB Publications, 2024. — 215 р. — ISBN: 978-93-55517-340. Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow Key Features ● Explore concepts ranging from fundamentals to advanced techniques of data warehouses and data mining. ● Translate business questions into actionable strategies to make informed...
Orange Education Pvt Ltd., 2024. — 526 p. — ISBN-13: 978-81-96862-01-5. Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business Challenges Book Description In today’s data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data,...
Wiley-Scrivener Publishing, 2021. — 368 p. — ISBN 9781119785378. Written and edited by a group of renowned specialists in the field, this outstanding new volume addresses primary computational techniques for developing new technologies in soft computing. It also highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and...
Packt Publishing, 2018. — 528 p. — ISBN: 978-1789139402. A hands-on guide for professionals to perform various data science tasks in R. R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data...
Outskirts Press, 2024. — 224 р. — ISBN-13: 978-1977275912. In today's fast-paced tech landscape, small businesses must stay competitive while managing complex processes. The Small Business Leader's Guide to AI is your essential resource for understanding and applying artificial intelligence to drive growth and efficiency. This guide simplifies AI concepts into actionable...
Cham: Springer International Publishing, 2018. — 300 p. — ISBN: 978-3-319-90509-9. This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16-22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures,...
Springer, 2024. — 234 p. — (Machine Learning: Foundations, Methodologies, and Applications). — ISBN 978-981-97-1024-9. Адаптация неконтролируемой области: последние достижения и перспективы на будущее The remarkable success of deep learning in the last decade has been largely driven by the availability of extensive labeled training data. However, most existing labeled datasets...
Springer, 2017. - 224p. - ASIN: B074QQH1N2 This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are...
CRC Press, 2020. — 266 p. — ISBN: 978-1-003-01985-5. Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or...
Springer, 2024. — 160 p. — (Synthesis Lectures on Computer Science). — ISBN 978-3-031-53746-2. Социальные последствия искусственного интеллекта и машинного обучения This book goes beyond the current hype of expectations generated by the news on Artificial Intelligence and Machine Learning by analyzing realistic expectations for society, its limitations, and possible future...
Elsevier, 2023. — 300 р. — ISBN: 978-0-323-99562-7. Integrated Human-Machine Intelligence: Beyond Artificial Intelligence focuses on deep situational awareness in human-computer integration, covering the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. The book also details the cognitive, philosophical, social,...
Springer, 2022. — 347 p. — ISBN 978-3-030-74385-7. Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and...
John Wiley & Sons, Inc., 2025. — 304 p. — ISBN 978-1-394-29263-9. Practical guide to effectively communicate financial data, ideas, and insights to executives Communicating Financials to Executives delivers indispensable insights on how to clearly, effectively and productively communicate financials to executives across industries in an influential manner. In this book, finance...
2nd edition. — Red Globe Press, 2020. — 250 p. — ISBN 978-1352007817. Assuming no prior knowledge, this text provides a concise, practical and accessible introduction to using, analysing and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question...
Independently published, 2021. — 217 p. — ISBN B094J1GZBM. This publication introduces a visual tool that provides its users with an option to acquire, modify, transform, combine and visualize data automatically, without the need of programming. The publication consists of 20 practical examples, by means of which the readers are gradually introduced to the attractive topic of...
Springer, 2022. — 329 p. — (International Series in Operations Research & Management Science 318). — ISBN 978-3-030-93985-4. Моделирование общественных систем: методы выявления и оценки Альтернативные планы и политики This book introduces methods for identifying and evaluating alternative plans and policies that address public sector issues and problems. This is not a book on...
SAGE Publications, 2017. — 336 р. Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here...
Springer, 2022. – 125 p. – (Studies in Big Data 94). – ISBN 978-981-16-5159-5. The book Foundations of Data Science for Engineering Problem Solving is envisioned to present the detailed and comprehensive overview of Data Science foundations including Data Science evolution, data collection, preparation, analysis of data using Machine Learning (ML) algorithm, data visualization...
De Gruyter, 2022. — 542 p. — ISBN 9783110981438. This book introduces the properties of conservative extensions of First Order Logic (FOL) to new Intensional First Order Logic (IFOL). This extension allows for intensional semantics to be used for concepts, thus affording new and more intelligent IT systems. Insofar as it is conservative, it preserves software applications and...
Academic Press, 2021. — 272 p. — ISBN 978-0323855105. Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights from...
Wiley, 2021. — 352 p. — ISBN 9781119763239. A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better...
Springer, 2020. — 131 p. — ISBN: 303056830X. This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
2nd edition. — Springer, 2022. — 471 p. — ISBN 978-3-030-83070-0. The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The...
CRC Press, 2019. — 343 p. — ISBN13: 978-0-429-26379-8. The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the...
Pearson, 2015. — 448 р. — ISBN: 978-9353065737. Today, successful firms win by understanding their data more deeply than competitors do. They compete based on analytics. In Modeling Techniques in Predictive Analytics, the Python edition, the leader of Northwestern University’s prestigious analytics program brings together all the up-to-date concepts, techniques, and Python code...
CRC Press, 2017. — 274. This book focuses on the supervised and unsupervised machine learning methods. The main objective of this book is to introduce these methods in a simple and practical way, so that they can be understood even by beginners to get benefit from them. In each chapter, we discuss the algorithms through which the chapter methods work, and implement the...
Mucbook, 2022. — 113 p. In less than 100 pages, Modeling Mindsets elucidates the worldviews behind various statistical modeling and Machine Learning mindsets. "Modeling Mindsets offers a compact but informative overview over the different approaches, assumptions and goals when working with data. I strongly recommend gifting this book to your present and future colleagues to get...
Packt Publishing, 2018. — 140 p. — ISBN: 1789612152. Develop informative and aesthetic visualizations that enable effective data analysis in less time Key Features Discover structure of ggplot2, grammar of graphics, and geometric objects Study how to design and implement visualization from scratch Explore the advantages of using advanced plots Book Description Applied Data...
O’Reilly Media, Inc., 2022. — 116 p. — ISBN 978-1-098-10683-6. 2021-10-12: First Release From a global pandemic to extreme weather, the events of 2020 and 2021 have caused organizations to make quick and constant adjustments to their strategy and operations. This transformation is likely to continue and have a major impact on analytics. Not only do responders to Experian's...
O’Reilly Media, 2024. — 241 p. — ISBN-13: 978-1-098-14882-9. If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features...
Springer, 2018. — 343 p. — ISBN: 981107514X. The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area...
Springer, 2024. — 186 p. The book concentrates on the impact of digitalization and digital transformation technologies on the Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart, before the physical structure is actually erected. It highlights the main digitalization...
2nd Edition. — Packt Publishing, 2018. — 207 p. — ISBN: 978-1-78980-607-6. Build a strong foundation of machine learning algorithms in 7 days Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data...
O’Reilly, 2023. — 99 p. — Fourth Early Release. Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive...
Fifth Release. — O’Reilly Media, 2022 To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see...
O’Reilly Media, Inc., 2022. — 250 p. — ISBN 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
O’Reilly, 2019. - 504p. - ISBN: 1492041653 Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field...
Springer Singapore 2023. — 237 p. — ISBN 978-981-19-4594-6. This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control....
Springer, 2017. — 102 p. — Computational Risk Management — ISBN: 978-9811025426 This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s...
Amazon Digital Services LLC, 2018. — 226 р. No extra maths required! – but a keen sense of humour is mandatory. You don’t even have to be excessively keen, we keep it short. This book shows how artificial intelligence (AI), Machine Learning (ML), and Big data analysis can be used in cybersecurity. Designed for Cybersecurity workers, InfoSec indentured slaves and governance...
2nd ed. — CRC Press, 2021. — 354 p. — ISBN: 9780367860851. In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning...
Packt Publishing, 2018. — 316 p. — ISBN: 1787287602. A perfect guide to speed up the predicting power of Machine Learning Algorithms Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start...
Orange Education Pvt Ltd, AVA., December 2023. — 503 р. — ISBN: 978-81-19416-44-8. Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making. Book Description: This book covers various aspects of Time Series Analysis and Forecasting using the Python language, emphasizing the importance of time series analysis from an industry...
BPB Publications, 2025. — 376 p. — ISBN 978-93-65897-128. Statistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based on data. This book teaches you how...
Amazon.com Services LLC., 2020. — 513 p. – ISBN: 9798604627273. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Data Science, from basic code and concepts to complex Neural Networks and data manipulation. Inside, you'll discover everything you need to know to get started with Python and Data Science, and begin your journey...
Independently published, 2024. — 193 p. — ISBN 979-8320088426, ASIN B0CW18VZF6, B0CYD4W3ZF. Unlock the transformative power of integrated data! In today's business landscape, the ability to harness and connect data from disparate sources is a competitive superpower. "Data Integration Essentials" is your roadmap to mastering the technologies, strategies, and best practices to...
Lulu.com, 2023. — 364 p. No Code Data Science is a revolutionary book that democratizes the application of predictive analytics for organizations of all sizes. This first-of-its-kind textbook book is designed to empower readers with the ability to leverage advanced analytics, machine learning, and AI without using a programming language, such as Python or R. It’s a...
Apress Media LLC, 2023. — 222 p. — ISBN-13: 978-1-4842-9735-3. Практическая реализация озера данных: преобразование ожиданий клиентов в осязаемые технические цели This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural...
Springer, Cham, 2022. — 342 p. — ISBN 978-3-030-95239-6. This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus...
Springer, 2023. — 298 p. — (Big Data Management). This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze Big Data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to...
Springer, 2021. — 299 p. — (Springer Series in the Data Sciences). — ISBN 978-3-030-62340-1. This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine...
Springer Nature Switzerland, 2024. — 437 p. The beginning of the book presents the basics of statistical science, with an exposition on linear models. This is followed by an analysis of some numerical aspects and various regularization techniques, including LASSO, which are particularly important for large scale problems. Decision problems are studied both from the classical...
John Wiley & Sons, Inc., 2024. — 352 р. — ISBN-13: 978-1394251957. Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI...
John Wiley & Sons, Inc., 2025. — 195 p. — ISBN 978-1-394-29702-3. Feel confident navigating the fundamentals of Data Science. Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand Data Science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible...
SAS Institute Inc., 2021. — 170 p. — ISBN 978-1-953329-60-8. Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies....
Syngress, 2016. — 188 p. — ISBN: 978-0128000069. Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to...
Singapore: Springer Singapore, 2019. — 71 p. — ISBN: 978-981-13-3209-8. This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes,...
Wiley-Scrivener, 2022. — 471 p. — (Next-Generation Computing and Communication Engineering). This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading research-driven areas in the modern era. It is having a critical role...
O’Reilly Media, Inc., 2023. — 247 p. — ISBN 978-1-098-13965-0. Справочник по анализу решений: практические шаги для принятия решений на основе фактических данных в сложном мире Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say...
Packt Publishing, 2019. — 78 p. — ISBN: 978-1-83898-529-5. Take the strategic and systematic approach to analyze data to solve business problems We offer you Packt Select – a new, selective range of books on unique topics. We have identified and acquired these books and made it available to you through our brand. These books provides a smooth learning experience using real-world...
Springer, 2023. — 209 p. This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates. The two attached programs provide, in one run of the program, a time and frequency domain description of scalar or multivariate time series approximated with a...
Springer, 2023. — 297 p. — (Transactions on Computer Systems and Networks). — ISBN 978-981-99-0109-8. This book focuses on both theory and applications of Artificial Intelligence and Machine Learning in the broad areas of communication and networking. This book focuses on the ongoing research work and future scope for various open research issues related to sustainable design,...
BPB Publications, 2023. — 254 p. —ISBN: 978-93-5551-159-1. Unlock the Potential of Data Science and Machine Learning to Your Business and Organization Key Features Includes today’s most popular applications powered by data science and machine learning technology. A solid primer on the entire data science lifecycle, detailed with examples. An integrated approach to demonstrating...
Independently published, 2020. — 234 p. — ISBN 9781234567890. Decision Making, Problem Solving, Creative Thinking, Critical Thinking, Emotional Intelligence, Growth Hacking, Conflict Resolution, Habits of Highly Effective People, Habits of Successful People, Habits of the richest, Personal Development, Personal Finance, Personality, Problem Solving, Self Discipline, Self...
North-Holland, 2020. — 498 p. — ISBN 978-0-444-64211-0. Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a...
Wiley-Scrivener, 2023. — 610 p. Конвергенция облака с ИИ для аналитики больших данных: основы и инновации This book was written to discuss the milestones in the development of three recent domains in Computer Science engineering - Cloud Computing, Artificial Intelligence and Big Data Analytics - and to analyse the convergence of cloud computing with Artificial Intelligence (AI)...
Springer, 2022. — 326 p. — ISBN 978-981-16-5846-4. This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences...
Elsevier, 2023. — 260 p. Mathematical Methods in Data Science introduces a new approach based on network analysis to integrate Big Data into the framework of ordinary and partial differential equations for data analysis and prediction. The mathematics is accompanied with examples and problems arising in Data Science to demonstrate advanced mathematics, in particular,...
2nd edition. — McGraw-Hill Education, 2021. — 544 p. — ISBN 978-1-260-57109-7. Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights...
3rd Edition. — McGraw-Hill Education, 2023. — 640 p. — ISBN 978-1-265-09445-4. Data Analytics is changing the business world―data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they...
2nd Edition. — Springer, 2024. — 179 p. This book introduces empirical methods for Machine Learning with a special focus on applications in Natural Language Processing (NLP) and Data Science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them. The book focuses on model-based...
Wiley, 2020. — 678 p. — ISBN: 9781119486411. This book introduces the topics of Big Data, data analytics and data science and features the use of open source data. Among the statistical topics described in this book are: data visualization, descriptive measures, probability, probability distributions, the concept of mathematical expectation, confidence intervals, and hypothesis...
Manning Publication, 2019. — 177 p. — ISBN13: 978-1617296246. Build a Career in Data Science is your guide to getting your first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple...
Pearson, 2020. — 360 p. — ISBN: 9780135258521. Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
Independently published, 2021. — 866 p. — ASIN B08T6K7P6L. Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Mario...
CRC Press, 2025. — 247 p. — ISBN 978-1-032-46672-9. Прибыльные программные продукты: руководство для руководителей You hold in your hands a comprehensive guide to creating a flourishing software development practice – one that makes a powerful impact with the software it builds. This guide describes the unique aspects of creating software-based products. It also lays out the...
2nd ed. — O’Reilly Media, 2017. — 283 p. — ASIN B072KFWZ8S. In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an...
Business Expert Press, 2021. — 486 p. — ISBN 978-1-63157-345-3. This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics,...
Business Science Reference, 2017. — 294 p. — ISBN: 1522521488. Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the...
Springer, 2018. — 199 p. — ISBN: 3319975552. This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a...
SAGE Publications, 2017. — 288 p. — ISBN: 978-1506377537. An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming language and RStudio...
Springer, 2023. — 366 p. — (The Springer Series in Applied Machine Learning). This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client...
Packt Publishing, 2018. — 206 p. — ISBN: 1789537126. Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to implement the data science project life cycle Leverage the power of R and Python to design and develop efficient data models find unique insights from your data with powerful techniques for...
Wiley, 2021. — 291 p. — (The Wiley Series in Intelligent Signal and Data Processing). — ISBN 978-0128203538. A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic –...
Independently published, 2021. — 352 p. — ASIN : B094766JT7. Data science has taken the planet by storm. Every field of study and area of business has been affected as people increasingly realize the worth of the incredible quantities of knowledge being generated. But to extract value from those data, one must be trained within the proper data science skills. The R programming...
O’Reilly Media, 2021. — 186 p. — ISBN: 978-1492093336 (print), ISBN: 978-1492093404 (ebook). Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language....
Springer, 2022. — 231 p. — (Mathematics of Data 01). — ISBN 978-3-031-06663-4. This book gives an intuitive and hands-on introduction to Topological Data Analysis (TDA). Covering a wide range of topics at levels of sophistication varying from elementary (matrix algebra) to esoteric (Grothendieck spectral sequence), it offers a mirror of data science aimed at a general...
Wiley-ISTE, 2024. — 243 р. — ISBN-13: 978-1-78630-978-5. Data analytics is a crucial process in today’s data-driven world. It involves collecting, cleaning, transforming and analyzing data to uncover useful information, insights, trends and patterns which inform business strategy, decision-making and process optimization. Traditionally, data analytics was a manual process...
Data Analytics Curriculum, 2024. — 180 p. — ASIN: B0DCKQVNMY. Data Mining is now a critical part of society and everyday work in the age of AI. It is important for every educated citizen to understand how data mining works. This book provides a simple yet solid conceptual understanding of data mining including: Definition and history of data mining Data mining process...
O’Reilly Media, 2007. — 362 p. — ISBN: 978-0-596-52932-1. The increasing number of people contributing to the Internet, either deliberately or incidentally, has created a huge set of data that gives us millions of potential insights into user experience, marketing, personal tastes, and human behavior in general. This book provides an introduction to the emerging field of...
The Institution of Engineering and Technology, 2022. — 327 р. — (Control, Robotics and Sensors). The energy efficiency paradigm associated with Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is a major bottleneck for the development of related technologies. To overcome this limitation, the design and development of efficient and high-performance energy...
CRC Press, 2025. — 180 p. — ISBN 9781032851129. This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills...
Springer, 2021. — 453 p. — ISBN 978-981-16-2933-4. This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on...
De Gruyter, 2023. — 228 p. — ISBN 978-3-11-100082-4. Архитектуры Data Fabric: веб-приложения The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric...
Springer, 2021. — 274 p. — ISBN 978-3-662-62520-0. In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality...
De Gruyter, 2022. — 292 p. — e-ISBN (EPUB) 9783110693256. Мягкие вычисления в интеллектуальном производстве: решения для индустрии 5.0 This book aims at addressing the challenges of contemporary manufacturing in the Industry 4.0 environment as well as in future manufacturing (aka Industry 5.0) by implementing soft computing - one of the major subfields of Artificial...
Springer, 2018. — 541 p. — ISBN: 978-3319760803. This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems,...
Springer, 2021. — 119 p. — (Advanced Information and Knowledge Processing). — ISBN 978-3-030-67680-3. RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations...
Wiley, 2014. — 240 p. — ISBN: 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
Morgan Kaufmann, 2019. — 340 p. — ISBN: 978-0128146231, 0128146230. Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional...
Springer, 2021. — 420 p. — ISBN 978-981-16-1294-7. This book discusses a number of intelligent algorithms which are being developed and explored for the next-generation communication systems. These include algorithms enabled with artificial intelligence, machine learning, artificial neural networks, reinforcement learning, fuzzy logic, swarm intelligence and cognitive...
Chapman and Hall/CRC, 2025. — 252 p. — ISBN: 978-1003427780. This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards. Presents an overview of the...
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare. — Packt Publishing, 2020. — 753 p. — ISBN: 978-1-83898-126-6. Cut through the noise and get real results with a step-by-step approach to data science You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on...
Packt Publishing, 2015. — 271 p. — ISBN: 1785284010, 9781785284014 Key Features Grow your data science expertise by filling your toolbox with proven strategies for a wide variety of cleaning challenges Familiarize yourself with the crucial data cleaning processes, and share your own clean data sets with others Complete real-world projects using data from Twitter and Stack Overflow...
Springer, 2018. — 398 p. — ISBN: 9783319778006. In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the...
Springer, 2021. — 671 p. — ISBN 978-3-030-62582-5 (eBook). This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related...
O’Reilly Media, Inc., 2023. — 66 p. — (Third Early Release). — 978-1-098-14587-3. Автоматизация мониторинга качества данных в масштабе: глубже, чем наблюдаемость данных The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality...
O’Reilly Media, Inc., 2024. — 170 р. — ISBN: 978-1-098-14593-4. The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data—used to build products, power AI systems, and drive business decisions—is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on...
Springer, 2021. — 241 p. — ISBN 978-3-030-53892-7. The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of sparsity and provides...
Vibrant Publishers, 2024. — 218 p. — (Self-Learning Management Series). — ISBN 13: 978-1-63651-119-1. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data From raw data to actionable insights – journey through the essentials of data analytics. Data analytics is becoming increasingly important in...
McGraw-Hill Education, 2019. — 352 p. — ISBN: 9781260452778. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and...
Springer, 2018. — 373 p. — ISBN: 978-3-319-91814-3. This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and...
Packt Publishing, 2018. — 490 p. Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights. Industry expert David Taieb bridges the gap...
Wiley, 2020. — 384 p. — ISBN 9781118948897. Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial),...
Springer, 2021. — 939 p. — (Data-Centric Systems and Applications). — ISBN 978-3-030-81979-8. This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data...
Business Expert Press, 2023. — 151 p. — ISBN-13: 978-1637425008. 5G and related digital revolutions will require tens of thousands of edge data centers. This book tells you how they work and how to get them built. We are in the middle of the edge computing revolution. Responding to demand for lower latency, telcos and others are moving servers and storage closer to end...
Packt Publishing, 2018. — 282 p. — ISBN: 1788839684. Combine the power of analytics and cloud computing for faster and efficient insights With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from...
Springer, 2018. — 287 p. — ISBN: 9811300798. This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion...
Packt Publishing Ltd., 2020. — 395 p. — ISBN: 978-1-80020-316-7. Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of...
CRC Press, 2020. — 362 p. — ISBN13: 978-1-4987-5398-2. In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic...
Springer, 2021. — 467 p. — ISBN 978-3-030-76973-4. This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free)...
Manning Publications Co., 2025. — 256 p. — ISBN-13: 978-1633437647. Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In Data Analysis with LLMs,...
Springer, 2018. — 370 p. — ISBN: 3319940295. This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the...
Manning Publications Co., 2019. — 246 p. — ISBN13: 978-1617296062. Zero to AI teaches business leaders, entrepreneurs, and decision makers how to improve the success and efficiency of their businesses by taking advantage of state-of-the-art AI technologies. After a brief introduction to artificial intelligence, you’ll explore examples that demonstrate how you can use AI for...
O’Reilly Media - 2020 - ISBN: 9781492060949 While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the potential of this predictive revolution? This practical guide presents a...
O’Reilly Media, Inc., 2024. — 254 p. — ISBN 978-1-098-14647-4. This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and Data Science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—Machine Learning and programming. But most of the time,...
Amazon Digital Service, 2016. - 145p. - ASIN: B01HQTWCFS The Ultimate Beginners Crash Course To Understanding And Writing DAX! With the help of this book, you will understand why it is important to learn about DAX, and what exactly should you do to help yourself write DAX without having any problems. From the basics of measures and calculation and everything else you need to know,...
Springer, 2018. — 185 p. — ISBN: 978-3-319-98139-0. This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a...
Springer, 2021. — 444 p. — ISBN 978-981-16-1680-8. This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar...
IVY Press, 2020. — 160 p. — ISBN: 978-0711259669. 30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there’s more to it...
Тechnics Publications, 2018. — 300 р. Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code. Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field...
Donny Wals, 2023. — 373 р. Learn Core Data from the ground up using new and modern techniques. This book has a total of 12 chapters designed to help you master Core Data from the basics all the way to the interesting and complex details. Sample code for this book is provided in SwiftUI and UIKit so it's as useful as possible no matter which UI framework you prefer.
IGI Global, 2023. —– 3143 p. — ISBN 9781799892212. Big Data and Machine Learning are driving the Fourth Industrial Revolution. With the age of Big Data upon us, we risk drowning in a flood of digital data. Big Data has now become a critical part of both the business world and daily life, as the synthesis and synergy of Machine Learning and Big Data has enormous potential. Big...
IGI Global, 2023. — 2500 p. — ISBN 978-1799892205. Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big...
Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen. — Springer, 2020. — 166 p. — ISBN: 978-981-15-6186-3 (eBook). As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the...
Yang Wang, Zhidong Li, Bin Liang, Hongda Tian , Ting Guo, Fang Chen. — CRC Press, 2025. — 188 p. — ISBN: 978-1-003-47389-3. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume...
Cambridge University Press, 2016. — 334 p. — ISBN: 978-1-107-12352-6 Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in...
CRC Press, 2022. — 110 p. — ISBN 9781003050315. The aim of the book is to introduce the state-of-the-art technologies in the field of brain and cognitive intelligence used in robotics control, particularly on studying how the brain learns and controls complex motor skills and how to replicate these in robots. This will be the first book that systematically and thoroughly deals...
CRC Press, 2025. — 206 p. — ISBN: 978-1-003-43761-1. The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering...
New York: Springer, 2016. — 656 p. This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following...
The MIT Press, 2021. — 310 p. — ISBN 9780262044196. How to use data as a tool for empowerment rather than oppression. Big data can be used for good–from tracking disease to exposing human rights violations–and for bad–implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude...
Packt, 2020. - 322p. - ISBN: 9781838826031 Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis...
Chapman and Hall/CRC, 2022. — 394 p. — ISBN: 978-1-003-02854-3. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning,...
Independently published, 2021. — 301 p. — ISBN B08R7KDSJC. This book presents different ways to visualize data in ggplot2. There is no theoretical explanation of each analysis method. The analysis uses data for FIFA World Cup 2014 & 2018. Visualize the Amount Data Import Basic Bar Chart Switches the x- and y-axes Adds a Plot Title Specify the Font Modifying Order Specify the...
Springer, 2018. This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns...
Apress Berkeley, 2023. — 340 p. — eBook ISBN: 978-1-4842-9810-7. Outlines a multi-dimensional perspective on moving from traditional marketing to AI-based marketing Highlights automated identification and profiling of customers and markets through AI Examines the role of interactive digital assistants in effective and smart communication with customers This book provides...
Springer, 2020. — 291 p. — ISBN: 978-3-030-48997-7 (eBook). This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate...
Arthur Zhang, 2017. — 280 p. — ISBN: 1 B06XHR9TJC. This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly...
2nd edition. — Springer, 2021. — 382 p. — ISBN 978-3-030-69250-6. This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image...
CRC Press, 2020. — 216 p. — ISBN 9780367897062. A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular...
Springer Singapore, 2023. — 105 p. — (Reports of China’s Basic Research) — eBook ISBN: 978-981-99-3228-3. Covers a wide range of disciplines and areas such as cognition and reasoning and computer vision Achieves a series of landmark results in cognitive mechanisms and models Creates two competition platforms by the end of this project This book discusses fruitful achievements...
2nd Edition. — CRC Press, 2025. — 364 p. — (Chapman & Hall/CRC Machine Learning & Pattern Recognition). — ISBN 978-1-032-96061-6. Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known Machine Learning approaches. It has become common sense that an ensemble is usually significantly more accurate...
Springer, 2024. — 162 p. — (Synthesis Lectures on Computer Science). — ISBN 978-3-031-42312-3. Динамическое обучение графов для уменьшения размерности и кластеризации данных This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of...
Springer, 2021. — 363 p. — ISBN 978-981-16-0099-9. This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from...
Independently published, 2021. — 267 p. — ASIN B09CVD8T5K. This book is dedicated to readers who want to try their hand at data analysis and develop data-driven services. Facts The book was sold out in Russia in three weeks Personal experience book, not a boring tutorial Whole picture of DS without coding and math Beginners in Data Science will learn What business needs from...
Астана: Спринт Бук, 2025. — 362 с. Освойте математический аппарат, который необходим, чтобы преуспеть в сфере Data Science, машинного обучения и статистики. Автор книги Томас Нилд поможет вам разобраться в таких дисциплинах, как математический анализ, теория вероятностей, линейная алгебра и статистика, и научиться применять их в контексте таких методов, как линейная регрессия,...
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