Packt Publishing, 2016. — 687 p. — ISBN: 978-1-78728-510-1 Book Description Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning....
Amazon.com Services LLC., 2020. — 180 p. — ASIN: B083H2YWP4. Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production process and more rapidly deliver data products. This book provides a...
2nd edition. — O’Reilly, 2020. — 368 p. — ISBN: 978-1492072942. Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply...
Packt Publishing, 2017. — 215 p. — ISBN: 978-1787284586. Key Features Get to know seven algorithms for your data science needs in this concise, insightful guide Ensure you're confident in the basics by learning when and where to use various data science algorithms Learn to use machine learning algorithms in a period of just 7 days Book Description Machine learning applications...
O’Reilly Media, 2017. — 292 p. — ISBN: 978-1491952962. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and books teach basic...
Packt Publishing, 2017. — 596 p. — ISBN13: 9781787281349. A practical guide to implementing your enterprise data lake using Lambda Architecture as the base. The term "Data Lake" has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way they...
Packt Publishing, 2017. — 442 p. — ISBN: 978-1-78829-575-8. Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information...
Jan Novotny, Paul A. Bilokon, Aris Galiotos and Frédéric Délèze. — John Wiley & Sons Ltd, 2020. — 866 p. — ISBN: 978-1-119-40473-6 (EPUB). Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database...
2nd ed. — Packt, 2017. — 432 p. — ASIN B0759XD981. Learn the nature of data through software which takes the preliminary concepts right away using R and Python. Understand data modeling and visualization to perform efficient statistical analysis with this guide. Get well versed with techniques such as regression, clustering, classification, support vector machines and much more...
AI Publishing LLC, 2020. — 197 p. — ISBN9781734790115. Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Besides, Python is a...
Manning Publications, 2021. — 512 p. — ISBN: 978-1617298899. A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. How to Lead in Data Science is full of techniques for leading data science at every seniority level—from heading up a single project to overseeing a whole company's data...
O’Reilly Media, Inc., 2022. — 328 p. — ISBN 978-1-098-12061-0. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is...
2nd. ed. — O’Reilly, 2019. — 406 p. — ISBN13: 978-1492041139. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science tools and algorithms work by...
Wiley, 2020. — 830 p. — ISBN: 978-1-119-62613-8. Your logical, linear guide to the fundamentals of data science programming Data science is exploding―in a good way―with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly...
Packt Publishing, 2015. — 156 p. — ISBN13: 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes...
BPB Publications, 2024. — 581 р. — ISBN: 978-9355519566. Analyze, Architect, and Innovate with Databricks Lakehouse. The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results....
O’Reilly, 2020. — 166 p. — ISBN: 978-1492072744. Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research,...
ACM Books, 2019. — 238 p. — ISBN: 978-1-4503-7155-1 eBook. Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most...
O’Reilly Media, Inc., 2023. — 594 p. — ISBN: 978-1-098-11300-1. As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data...
The MIT Press, 2023. — 216 р. — ISBN: 978-0262376617. A guide to everything you need to understand to navigate a world increasingly governed by data. Data has become a defining issue of current times. Our everyday lives are shaped by the data that is produced about us (and by us) through digital technologies. In this book, Critical Data Literacies, Luci Pangrazio and Neil...
No Starch Press, 2023. — 390 р. — ISBN-13: 978-1-7185-0289-5. Learn how to use Data Science and Python to solve everyday business problems. Dive into the exciting world of Data Science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power...
Manning Publications, 2024. — 264 p. — ISBN: 978-1633438408. Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn...
O’Reilly Media, 2023. —349 p. — ISBN-13: 978-1492099628/ Baseball is not the only sport to use “moneyball.” American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports...
Apress Media LLC, 2023. — 257 p. — ISBN-13: 978-1-4842-8954-9. This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You'll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines...
2nd Edition. — Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar — Packt Publishing Limited, 2020. — 575 p. — ISBN: 978-1-83921-500-1. Simplify your ETL processes with these hands-on tips, tricks, and best practices Though huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. The...
Independently published, 2024. — 157 р. — ISBN 979-8329504392, ASIN B0D8QTGD9H. This clear and accessible guide is your gateway to mastering the fundamental principles and cutting-edge advancements in computer science. In today's technology-driven world, understanding computer science is becoming more essential. Whether you're a complete beginner, a student looking to enhance...
No Starch Press, 2022. — 224. — ISBN 13: 978-1098156657. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you'll create analytic...
AI Publishing, 2020. — 308 p. — ISBN B08QJMNVCX. Data Science Crash Course for Beginners with Python Data Science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role. A...
O’Reilly Media, 2022. — 341 p. — ISBN: 978-1-098-10185-5. Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting...
Manning Publications, 2021. — 706 p. — ISBN: 978-1617296253. Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: Techniques for computing and plotting probabilities Statistical...
Apress Media LLC, 2025. — 231 p. — ISBN-13: 979-8-8688-1070-1. In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science,...
Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu. — Addison-Wesley Professional/Pearson Education, 2025. — 320 p. — ISBN-13 978-0-13-826141-2. Инженерные системы искусственного интеллекта: основы архитектуры и DevOps Transform Your Business with AI: The Ultimate Guide to Engineering AI Systems. Master the Engineering of AI Systems: The Essential Guide for Architects and Developers...
John Wiley & Sons, 2021. — 190 p. — ISBN 9781119544081. Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the “business side” of data science,...
2nd Edition. — John Wiley and Sons, Inc., 2025. — 368 p. — ISBN: 978-1-394-23449-3. Practical, accessible guide to becoming a data scientist, updated to include the latest advances in Data Science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business...
Manning Publications, 2020. — 350 p. — ISBN 978-1617296529. The beating heart of any product or service business is returning clients. Don’t let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you’ll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe...
Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown — O’Reilly Media, 2021. — 240 p. — ISBN 978-1-492-06349-0. 2021-03-08: First Release As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data...
Apress Media LLC., 2020. — 120 p. — ISBN13: (electronic): 978-1-4842-6103-3. Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that...
Apress, 2020. — 231 p. — ISBN13: (electronic): 978-1-4842-5653-4. Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems. The...
O’Reilly, 2019. — 154 p. — ISBN: 978-1-492-05232-6. Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable...
3rd Edition. — Apress Media LLC, 2024. — 197 p. — ISBN-13: 979-8-8688-0279-9. Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. This third edition...
O’Reilly Media, Inc., 2024. — 571 р. — ISBN-13: 978-1-098-15999-3. Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and...
O’Reilly Media, Inc., 2025. — 350 р. — ISBN-13: 978-1-098-16581-9. Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion,...
Bentham Books, 2023. — 223 р. — ISBN: 978-981-5124-85-9. Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of Data Science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in Data Science, enabling readers to...
O’Reilly Media, Inc., 2022. — 245 р. — ISBN-13: 978-1-098-11292-9. Healthcare is the next frontier for Data Science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved....
Apress, 2021. — 272 p. — ISBN 978-1484268698. Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of...
O’Reilly Media, 2023. — 200 р. — ISBN-13: 978-1-098-13531-7. Combing the web is simple, but how do you search for data at work? It’s difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations,...
Independently published, 2023. — 219 p. Программист-аскет: как аскетизм приносит пользу программированию, науке и искусству Ascetic programming is the writing of computer programs using fewer lines of code or forgoing certain programming language features. Imposing restrictions on programming other than those on resources goes at least as far back as Edsger W. Dijkstra's...
Apress Media LLC, 2022. — 376 p. — ISBN-13 (electronic): 978-1-4842-7419-4. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts,...
Manning Publication, 2020. — 354 p. — ISBN: 978-1617296246. You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. What are the keys to a data scientist’s long-term success?...
O’Reilly Media, Inc., September 2021. — 198 p. — ISBN 978-1-492-09340-4. 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. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both...
Apress, 2020. — 253 p. — ISBN13: (electronic): 978-1-4842-5361-8. Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations,...
Independently published, 2021. — 375 p. — ASIN B08Z483L62. Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and...
Independently published, 2020. — 190 p.— ISBN B08RYK6549, 9798590243471. Are you tired of books over-complicating computer concepts? Do you want to learn about data analytics but can’t find a book with decent computer concept delivery? Are you intimidated by the menacing formulas and all the technical talk when you just want to enjoy some simple data analysis? Are you trying to...
Independently published, 2021. — 418 p. — ASIN B08Z41M9CW. This book appeals to the reader’s desire to explore the world of data science in a manner that is not too technical and not too plain, but somewhere in between. This book targets this sweet spot and provides comprehensive yet brief explanations to concepts that might be otherwise misunderstood or easily ignored by the...
Independently published, 2020. — 150 p.— ISBN B08RTQRC1C, 9798590251827. Are you interested in learning one of the sexiest jobs of the century? That’s what Harvard Business School terms data science as. Let’s face it; data scientists possess skills and qualities that are in more demand now than ever before and that’s not surprising, given the sheer amount of data the world...
Manning Publications Co., 2023. — 192 p. — ISBN 978-1633438774. Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetize it yourself. Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. The book lays out how businesses...
Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, Lindsey Heagy. — CRC Press, 2024. — 452 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 978-1-003-43839-7. Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract...
Apress Media LLC, 2022. — 341 p. — ISBN-13: 978-1-4842-8670-8 Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are...
Independently published, 2024. — 663 p. — ISBN 979-8329397741, ASIN B0D7ZSTM5X. Unlock the power of Rust in the world of data science with "Data Science with Rust." This comprehensive guide takes you on a journey through the unique advantages of Rust, a systems programming language renowned for its performance, reliability, and safety. Whether you are a seasoned data scientist...
4th Еdition. — Reactive Publishing, 2024. — 274 p. — ASIN: B0CTL2YMH2. Reactive Publishing Dive into the world of data science with a cutting-edge twist in Hayden Van Der Post's latest book, "Rust Fundamentals for Data Science". This comprehensive guide is a must-have for data professionals eager to harness the power of Rust, a language renowned for its speed, reliability, and...
2nd Edition. — O’Reilly Media, 2023. — 550 р. — ISBN 978-1-098-12122-8. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all–IPython,...
O’Reilly Media, Inc., 2024. — 254 р. — ISBN-13: 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...
Pawan Whig, Sachinn Sharma, Seema Sharma, Anupriya Jain, Nikhitha Yathiraju. — IGI Global, 2024. — 334 р. — ISBN 979-8369329108. Our aim with this book was to bridge the gap between theoretical understanding and practical implementation in Data Science. By showcasing real-world applications, case studies, and innovative methodologies, we have provided readers with a holistic...
John Ennis, Julien Delarue, Thierry Worch, Vanessa Rios De Souza. — Chapman and Hall/CRC, 2024. — 332 p. — ISBN:978-0-367-86287-9/ Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data...
Комментарии