Independently published, 2025. – 111 p. – ISBN: 9798317027308. Colorful One-Pagers to Refresh Your Data Science Knowledge. Say goodbye to passive PowerPoint slides and hello to colorful, hand-drawn examples. 101 Data Science Drawings brings Data Science to life — one marker at a time. This book features over a hundred one-page visual examples, each hand-drawn with colorful...
O’Reilly Media, Inc., 2025. — 350 p. — 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,...
Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu. — Addison-Wesley Professional/Pearson Education, 2025. — 320 p. — ISBN-13 978-0-13-826141-2. 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. In today's rapidly evolving world, integrating artificial intelligence...
Packt Publishing, 2024. — 251 p. Key Features: Explore graph data in real-world systems and leverage graph learning for impactful business results. Dive into popular and specialized deep neural architectures like graph convolutional and attention networks. Learn how to build scalable and productionizable graph learning solutions. Book Description: With their combined expertise...
Wiley, 2024. — 207 p. — ISBN-13 978-1394249633. A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), Machine...
Mercury Learning and Information, 2025. — 197 p. This book is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. It bridges the complex world of Data Science and...
Kogan Page, 2021. — 240 p. — ISBN: 1789668018. In the fast-moving world of the fourth industrial revolution, not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze, and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use...
Kogan Page, 2021. — 232 p. — ISBN: 1398602949. The importance of data analytics is well-known, but how can you get end users to engage with analytics and business intelligence (BI) when the adoption of new technology can be frustratingly slow or may not happen at all? Avoid wasting time on dashboards and reports that no one uses with this practical guide to increasing analytics...
Apress Media LLC, 2025. — 231 p. — ISBN-13: 979-8-8688-1069-5. 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,...
2nd Edition. — Chapman and Hall/CRC, 2024. — 328 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 978-1-032-11654-9. Unlike the first edition, the new edition has been split into two books. Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Visualization with R. It introduces skills that can...
John Wiley & Sons, 2024. — 240 p. — ISBN: 978-1-394-24963-3. A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models...
Birmingham: Packt Publishing, 2024. - 503 p. - ISBN: 1837634181. Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms. Key Features Understand key data science algorithms with Python-based examples. Increase the impact of your data science solutions by learning how to...
Birmingham: Packt Publishing, 2024. - 543 p. - ISBN: 1803244984. Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms. Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness. Explore design patterns...
John Wiley & Sons, 2024. — 192 p. — (For Dummies (Computer/Tech)). — ISBN: 1394297009. 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 dataset cleaning, processing, and visualization. This direct...
2nd Edition. — John Wiley and Sons, Inc., 2025. — 346 p. — ISBN: 139423449X. 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 situation, and...
2nd Edition. — ohn Wiley and Sons, Inc., 2025. — 368 p. — ISBN: 978-1-394-23449-3. A 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 in software engineering, an understanding of a business...
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....
O’Reilly Media, Inc., 2024. — 571 p. — 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...
Packt Publishing, 2023. — 173 p. Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises. Key Features: Challenge yourself to start thinking like a Kaggle Grandmaster. Fill your portfolio with impressive case studies that will come in handy during interviews. Packed with...
O’Reilly Media, Inc., 2024. — 571 p. — 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...
Apress, 2024. — 650 p. — ISBN: 9798868806018. This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars...
Independently published, 2024. — 432 p. Data Science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can...
Packt Publishing, 2024. — 542 p. Key Features: Conduct a full range of data science experiments with clear explanations from start to finish. Learn key concepts in data analytics, machine learning, and AI and apply them to solve real-world problems. Access all of the code online as a notebook and interactive GitHub Codespace. Book Description: As the fields of data science,...
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...
Packt Publishing, 2024. — 310 p. (converted to PDF). Key Features: Master the concepts of statistics and ML to interpret models and guide decisions. Identify valuable AI use cases and manage data science projects from start to finish. Empower top data science teams to solve complex problems and build AI products. Book Description: As data science and artificial intelligence...
Wiley, 2024. — 207 p. — ISBN-13 978-1394249633. A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), Machine...
CRC Press, 2025. — 142 p. This book dives into the inner workings of recommender systems, those ubiquitous technologies that shape our online experiences. From Netflix show suggestions to personalized product recommendations on Amazon or the endless stream of curated YouTube videos, these systems power the choices we see every day. Collaborative filtering reigns supreme as the...
CRC Press, 2024. — 451 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 103257223X. 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 insights from data using classification, regression, clustering, and inference. It...
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...
3rd Edition — Apress, 2024. — 197 p. — ISBN: 979-8868802782, ASIN: B0CVDQK34L. 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...
CRC Press, 2024. — 315 p. — ISBN: 978-1-032-81272-4. Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary Machine Learning framework into a single overarching umbrella over Data Science. The book is designed to bridge the knowledge gap between conventional statistics and Machine Learning. It...
Packt Publishing, 2024. — 326 p. Key Features: Learn practical data science combined with data theory to gain maximum insights from data. Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models. Explore actionable case studies to put your new skills to use immediately. Book Description: Principles of Data Science bridges...
Pawan Whig, Sachinn Sharma, Seema Sharma, Anupriya Jain, Nikhitha Yathiraju. — IGI Global, 2024. — 334 p. — 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...
Pawan Whig, Sachinn Sharma, Seema Sharma, Anupriya Jain, Nikhitha Yathiraju. — IGI Global, 2024. — 334 p. — ISBN: 979-8369329092. 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...
CRC Press, 2024. — 274 p. — (Data Science Series). — ISBN: 978-1-032-10402-7. Data Scientists are experts at analyzing, modeling, and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices,...
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...
Packt Publishing, 2024. — 452 p. — ISBN: 978-1803241609. Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries. Key Features Analyze marketing data using proper statistical techniques. Use data modeling and analytics to understand customer preferences and enhance strategies without complex math....
Packt Publishing, 2024. — 452 p. — ISBN: 978-1803241609. Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries. Key Features Analyze marketing data using proper statistical techniques. Use data modeling and analytics to understand customer preferences and enhance strategies without complex math....
Independently published, 2024. — 138 p. — ISBN: 979-8388576705. "Data Science for An Introduction to the Fundamentals of Data Analysis and Machine Learning" is a comprehensive guide to the exciting and rapidly growing field of Data Science. This book is designed to provide a clear and concise introduction to Data Science for those with little or no prior experience in the...
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...
O’Reilly Media, 2021. — 198 p. — ISBN: 978-1492093404. 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. By recognizing the strengths of...
3rd Edition. — John Wiley & Sons, Inc., 2021. — 435 p. — ISBN: 978-1-119-81155-8. Make smart business decisions with your data by design! Take a deep dive to understand how developing your data science dogma can drive your business — ya dig? Every phone, tablet, computer, watch, and camera generates data — we’re overwhelmed with the stuff. That’s why it’s become increasingly...
Packt Publishing, 2021. — 499 p. — ISBN: 978-1-80107-129-1. Code Files Only! A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner. Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series,...
Packt Publishing, 2022. — 530 p. — ISBN: 978-1-801-81747-9. Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help...
4th Edition. — 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...
Eryurek E., Gilad U., Lakshmanan V., Kibunguchy-Grant A., Ashdown J. — O’Reilly Media, 2021. — 240 p. — ISBN: 9781492063490. 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 governance incorporates the ways people,...
Wiley, 2024. — 304 p. — eBook ISBN: 978-1-394-23704-3. Winning strategies for investors looking to boost gains with artificial intelligence. AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You’ll learn how powerful AI can be in helping you make better...
BPB Publications, 2021. — 447 p. — ISBN: 978-93-89423-280. A primer into the multidisciplinary world of Data Science. Key Features Explore and use the key concepts of Statistics required to solve data science problems. Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app. Learn how to build Data Science solutions with GCP and AWS....
O’Reilly Media, 2022. — 245 p. 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 the cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how...
O’Reilly, 2021. — 276 p. — ISBN: 9781492087830. Mobile wireless communication systems have affected every aspect of life. By providing seamless connectivity, these systems enable almost all the smart devices in the world to communicate with high-speed throughput and extremely low latency. The next generation of cellular mobile communications, 5G, aims to support the tremendous...
Columbia Business School Publishing, 2024. — 272 p. — ISBN: 13: 978-0231206860. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without...
Cambridge: Cambridge University Press, 2023. — 1166 p. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This second volume,...
BPB Publications, 2024. — 581 p. — ISBN: 978-9355519566. Analyze, Architect, and Innovate with Databricks Lakehouse. The Databricks Lakehouse is a 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....
2nd edition. — O’Reilly Media, Inc., 2021. — 283 p. — ISBN: 978-1-492-08791-5. 2021-08-17: First Release. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data....
Singapore: World Scientific Publishing Company, 2023. — 444 p. — ISBN: 9811263892. The book systematically introduces the basic contents of data science, including data preprocessing and basic methods of data analysis, handling special problems (e.g. text analysis), deep learning, and distributed systems . In addition to systematically introducing the basic content of data...
Cambridge University Press, 2023. — 990 p. — eBook ISBN: 9781009218276. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This...
Cambridge: Cambridge University Press, 2023. - 1105 p. - ISBN: 1009218123. This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference....
The MIT Press, 2023. — 216 p. — 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...
Birmingham: Packt Publishing, 2023. - 195 p. - ISBN: 1837630771. Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers. Key Features Develop your brand, projects, and portfolio with expert help to stand out in the interview round. Get a quick refresher...
Kogan Page, 2023. — 409 p. — (Confident Series). The global data market is estimated to be worth 64 billion dollars, making it a more valuable resource than oil. But data is useless without the analysis, interpretation, and innovations of data scientists. With Confident Data Science, learn the essential skills and build your confidence in this sector through key insights and...
Bentham Books, 2023. — 223 p. — ISBN: 978-981-5124-86-6. 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, 2023. - 594 p. - ISBN: 1098113004. 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 into...
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...
CRC Press, 2023. — 317 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 1032505265. Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-around view that you need for your projects. This book describes how to properly question data, to unearth the treasure that data can be. You will get to know the relevant...
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...
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...
Manning Publications, 2023. — 95 p. The book is full of sage advice on how to be an effective data analyst in a real production environment. Inside, you’ll find methods that maximize the impact of your work, from choosing the right analysis approach to effectively communicating with stakeholders. You’ll soon understand the nuances and challenges of real data science projects,...
O’Reilly Media, 2023. — 200 p. — ISBN-13: 978-1-492-09871-3. 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,...
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...
Manning Publications Co., 2023. — 192 p. — ISBN: 978-1633438774. Take control of your 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 data. The book lays out how businesses collect, use, and...
No Starch Press, 2022. — 224. — ISBN: 13: 978-1098156657. Converted PDF A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think of 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...
CRC Press, 2023. — 201 p. — ISBN: 978-1-032-08082-6. Librarians understand the need to store, use and analyze data related to their collection, patrons, and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from...
Independently published, 2023. — 219 p. 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 condemnation of the goto statement. However, among possible restrictions, the one on...
Independently published, 2023. — 219 p. 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 condemnation of the goto statement. However, among possible restrictions, the one on...
No Starch Press, 2023. — 390 p. — 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...
John Wiley & Sons, Inc., 2023. — 192 p. — ISBN: 978-1119705697. The intention behind How to Build a Data Community is to provide readers with a comprehensive, easy-to-understand, and practical guide for establishing analytics and data communities in their organizations. This book does not focus on technical details around analytical problems; instead, it will provide insights...
Manning Publications Co., 2023. — 192 p. — ISBN: 978-1633438774. Take control of your 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 data. The book lays out how businesses collect, use, and...
Independently published, 2023. — 1197 p. This book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The book can be divided into roughly three parts, focusing on preliminaries, deep learning techniques, and advanced topics focused on real systems and applications. Part 1: Basics and Preliminaries. Chapter 1 offers...
Independently published, 2023. ChatBot and the New Future of Content Creations is a comprehensive guide for anyone looking to harness the power of Chat GPT, a cutting-edge language model, for content creation and marketing purposes. The book provides an introduction to Chatbot and its capabilities in content creation. It delves into the various ways that Chatbots can be trained...
O’Reilly Media, 2023. — 200 p. — 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,...
SimpliLearn, 2022. — 14 p. What are Big Data and Data Science? Data Science: History and Developments. What Does a Data Scientist Do? Bridging the Talent Gap. Prerequisites for Becoming a Data Scientist. Preferred Educational Qualifications. Miscellaneous Non-technical Skills. Study Plan. Useful Resources. The Future of Data Science.
2nd Edition. — O’Reilly Media, 2023. — 550 p. — 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 –...
Sybex, 2022. — 368 p. — ISBN: 1119845254, 9781119845256. Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam....
Sebastopol (CA): O’Reilly Media, 2022. — 326 p. — ISBN: 1098120612. 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...
2nd Edition. — O’Reilly Media, 2023. — 550 p. — ISBN: 978-1-098-12122-8. A 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 –...
Apress Media LLC, 2023. — 257 p. — ISBN13: 978-1-4842-8953-2. 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...
John Wiley & Sons, Inc., 2023. — 291 p. — ISBN: 978-1-119-90677-3. How to build and maintain strong data organizations — the Dummies way. Data Governance For Dummies offers an accessible first step for decision-makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to...
Leanpub, Roy Keyes, 2021. — 195 p. This book is designed to be a concise, opinionated, and practical guide to hiring the right data science technologists that your organization needs to achieve its goals. It will guide you through identifying the roles and skills your organization needs, how to source candidates, how to assess candidates, and how to help them succeed once...
O’Reilly Media, 2022. — 470 p. Data quality will either make you or break you in the financial services industry. Missing prices, wrong market values, trading violations, client performance restatements, and incorrect regulatory filings can all lead to harsh penalties, lost clients, and financial disaster. This practical guide provides data analysts, data scientists, and data...
Apress, 2022. — 341 p. — ISBN13: 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 many aspects of a business's operations. SMEs are looking for...
Apress Media LLC, 2022. — 341 p. — ISBN13: 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 many aspects of a business' operations. SMEs are...
First edition — No Starch Press, 2022 — 224 p. — ISBN: 9781098156657 Information is power, some say. Data is the new gold, others proclaim. But raw information and data are often meaningless without context. Data is a valuable asset only when properly analyzed, interpreted, and understood. As a result, new fields proliferate. Data scientist, data engineer, data analyst,...
Packt, 2022. — 542 p. — ISBN: 1803241675, 9781803241678. Explore supercharged machine learning techniques to take care of your data laundry loads. Key Features Learn how to prepare data for machine learning processes. Understand which algorithms are based on prediction objectives and the properties of the data. Explore how to interpret and evaluate the results from machine...
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...
Packt, 2022. — 402 p. — ISBN: 1801814430, 9781801814430. Gain the key knowledge and skills required to manage data science projects using Comet. Key Features Discover techniques to build, monitor, and optimize your data science projects. Move from prototyping to production using Comet and DevOps tools. Get to grips with the Comet experimentation platform. Book Description This...
Vector Sigma, 2015. — 154 p. — ISBN13: 978-9881389909. Learn q by building a real-life application. Q Tips teaches you everything you need to know to build a fully functional CEP engine. Advanced topics include profiling an active q server, derivatives pricing, and histogram charting. As each new topic is introduced, tips are highlighted to help you write better q.
Manning Publications, 2022. — 760 p. — ISBN: 9781617299193. Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting-edge data infrastructure. In it, you’ll...
Packt, 2022. — 334 p. — ISBN: 1801814864, 9781801814867. Explore how Delta brings reliability, performance, and governance to your data lake and all the AI and BI use cases built on top of it. Key Features Learn Delta's core concepts and features as well as what makes it a perfect match for data engineering and analysis. Solve business challenges of different industry verticals...
Packt Publishing, 2020. — 575 p. A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way. Key Features Explore data wrangling with the help of real-world examples and business use cases Study various ways to extract the most value from your data in minimal time Boost your...
Manning Publications, 2022. — 353 p. — ISBN: 978-1617299193. Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting-edge data infrastructure. As you work through this easy-to-follow guide, you’ll set...
Birmingham: Packt Publishing, 2022. - 329 p. - ISBN: 1800568789. The missing manual to becoming a successful data scientist — develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape. Key Features Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS. Get to grips with critical aspects of data science...
Manning Publications, 2021. — 513 p. — ISBN: 1617298891. IN A Word A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. In How To Lead in Data Science you will learn: Best practices for leading projects while balancing complex trade-offs. Specifying, prioritizing, and planning...
Packt Publishing, 2022. — 530 p. — ISBN: 978-1-801-81747-9. Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help...
Apress Media LLC, 2022. — 376 p. — ISBN: 978-1-4842-7418-7. 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, and other...
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...
BPB Publications, 2021 — 1162 p. — ISBN: 9789389845662. Learn how to process and analyze data using Python This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data...
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...
O’Reilly Media, 2013. — 414 p. Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining...
O’Reilly Media, Inc., 2022. — 200 p. — ISBN: 978-1-492-07706-0. 2021-09-30: First Release Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit...
Packt Publishing, 2021. — 52 p. — ISBN: 9781801817479. Get a step ahead of your competitors with a concise collection of smart data handling and modeling techniques. Key Features Learn how Kaggle works and how to make the most of competitions from two expert Kagglers. Sharpen your modeling skills with ensembling, feature engineering, adversarial validation, AutoML, transfer...
2nd edition. — O’Reilly Media, Inc., 2021. — 283 p. — ISBN: 978-1-492-08791-5. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author...
Packt Publishing, 2021. — 407 p. — ISBN: 978-1-80107-415-5. Make informed decisions using data analytics, machine learning, and data visualizations Key Features Take raw data and transform it to add value to your organization Learn the art of telling stories with your data to engage with your audience Apply machine learning algorithms to your data with a few clicks of a button...
3rd Edition. — John Wiley & Sons, Inc., 2021. — 435 p. — ISBN: 978-1-119-81155-8. Make smart business decisions with your data by design! Take a deep dive to understand how developing your data science dogma can drive your business — ya dig? Every phone, tablet, computer, watch, and camera generates data — we’re overwhelmed with the stuff. That’s why it’s become increasingly...
O’Reilly Media, 2021. — 361 p. — ISBN: 1492061379. Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this...
O’Reilly Media, Inc., 2021. — 346 p. — ISBN: 978-1-492-07573-8. Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide...
O’Reilly Media, Inc., 2021. — 251 p. — ISBN: 9781492094326. Data analytics could seem daunting, however should you’re conversant in Excel, you’ve got a head begin that may allow you to make the leap into analytics. Advancing into Analytics will decrease your studying curve. Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate...
2nd edition. — O’Reilly, 2019. — 398 p. — ISBN: 78-1-492-04113-9. To really learn data science, you should not only master the tools — data science libraries, frameworks, modules, and toolkits — but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by...
Wiley, 2021. — 205 p. — ISBN: 1119785324. Organize, plan, and build an exceptional data analytics team within your organization. In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the...
2nd edition. — Packt Publishing, 2021. — 433 p. — ISBN: 978-1-80056-448-0. Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoost Key Features Think critically about data and use it to form and test a hypothesis Choose an appropriate machine learning model and train it on your data Communicate...
O’Reilly Media, 2021. — 199 p. — ISBN: 978-1492093404. 2021-06-22: First Release 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. By...
New York: Addison-Wesley, 2019. — 399 p. The Foundational Hands-On Skills You Need to Dive into Data Science“Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.”–From the foreword by Jared Lander, series editorUsing data science techniques, you can transform raw data into actionable insights for...
Packt Publishing, 2021. — 362 p. — ISBN: 978-1800568914. Learn how to build web-based and mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more Create controls and visual elements...
Packt Publishing, 2021. — 499 p. — ISBN: 978-1-80107-129-1. A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series, and image...
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, 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...
Boca Raton: CRC Press, 2021. — 225 p. This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the theoretical background necessary to the understanding of the presented evolutionary algorithms and their shortcomings, while also discussing themes that are pivotal to the successful application of...
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...
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 ,...
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...
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...
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis. — Morgan & Claypool, 2020. — 166 p. — ISBN: 978-1681734576. Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of...
Manning, 2020. — 350 p. — ISBN: 9781617296529. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers. Don't let your hard-won customers vanish from subscription services, taking their money with them. In Fighting Churn with Data...
River Publisher, 2020. — 370 p. — ISBN: 9788770220965. The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very large data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and...
New York: BPB Publications, 2020. — 116 p. Most asked questions in an easy to remember and presentable form. Book mainly intended to be used as last-minute revision, before the interview, as all the important concepts and various terminologies have been given in a very simple and understandable format. Many examples have been provided so that the same can be used while giving...
Apress Media LLC., 2020. — 120 p. — ISBN13: 978-1-4842-6102-6. 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 analyzes and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that are poorly...
O’Reilly, 2020. — 166 p. — ISBN: 978-1-492-07274-4. 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,...
Independently published, 2019 — 217 p. — ISBN: 9781712506578. This book explicitly gives the reader layman’s introduction to machine learning with implementation in Python libraries particularly using Scikit learn and Tensor flow. We will learn about machine learning and its subset deep learning in detail along with program codes that will give a good overview for the...
Wiley, 2020. — 528 p. — ISBN: 1119646030. Inform your own analyses by seeing how one of the best data analysts in the world approaches analytics problems Analytics Stories: How to Make Good Things Happen is a thoughtful, incisive, and entertaining exploration of the application of analytics to real-world problems and situations. Covering fields as diverse as sports, finance,...
2nd Edition. — O’Reilly Media, 2020. — 368 p. — ISBN13: 978-1-492-07294-2. 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...
Packt, 2019. — 356 p. Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key Features Study ROS, the main development framework for robotics, in detail Learn all about convolutional neural networks, recurrent neural networks, and robotics Create a chatbot to interact with the robot Artificial Vision and Language Processing for...
Fairfild: Anil K. Maheshwari, 2015. — 296 p. This book fills the need for a concise and conversational book on the hot and growing field of Data Science. Easy to read and informative, this lucid and constantly updated book covers everything important, with concrete examples, and invites the reader to join this field. University of Texas calls it #1 read for Data Analysts. The...
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...
Manning Publications, 2020. — 454 p. — ISBN: 9781617296253. MEAP Version 4 . Learn data science with Python by building 10 real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help...
ACM Books, 2019. — 285 p. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, we give an overview of the end-to-end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with...
New York: Amazon.com Services LLC, 2020. — 234 p. 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 hands-on approach...
2nd ed. — 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...
2nd Edition. — O’Reilly Media, 2020. — 361 p. — ISBN: 978-1-492-07294-2. 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 popular guide adds comprehensive examples in Python, provides practical...
Manning Publication, 2020. — 354 p. — ISBN: 9781617296246 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...
John Wiley & Sons, Inc., 2019. — 247 p. — ISBN: 9781119526841 (EPUB). Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source...
John Wiley & Sons, Inc., 2019. — 247 p. — ISBN: 9781119526841 (EPUB). Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source...
Apress, 2020. — 253 p. — ISBN-13 (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,...
Apress, 2020. — 253 p. — ISBN-13 (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,...
Apress, 2020. — 253 p. — ISBN-13 (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,...
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...
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...
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...
Apress, 2020. — 270 p. — ISBN: 978-1-4842-5360-1. 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, and how each...
2nd. ed. — Apress, 2019. — 153 p. — ISBN: 1484254937. 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. It is easy for novices to the subject to feel...
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...
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...
O’Reilly Media, Inc., 2015. — 330 p. — ISBN: 978-1-491-90142-7. 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. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
O’Reilly Media, Inc., 2015. — 330 p. — ISBN: 978-1-491-90142-7. 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. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
O’Reilly Media, Inc., 2015. — 330 p. — ISBN: 978-1-491-90142-7. 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. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
O’Reilly, 2019. — 154 p. — ISBN: 1492052329. 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 machine...
Manning Publications, 2016. — 458 p. — ISBN: 978-1617292330. Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees...
Packt Publishing, 2017. — 585 p. — ISBN: 978-1-78728-134-9. 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...
Packt Publishing, 2017. — 585 p. — ISBN: 978-1-78728-134-9. 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...
O’Reilly Media, 2017. — 327 p. — ISBN: 978-1-491-95296-2. 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, 2019. — 420 p. — ASIN B07LCNZPDX. !Code files only Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple...
Independently published, 2019. — 206 p. — ISBN: 978-1799002703. Data science is an exciting new field that is used by various organizations to perform data-driven decisions. It is a combination of technical knowledge, mathematics, and business. Data scientists have to wear various hats to work with data and derive some value out of it. Python is one of the most popular...
Wiley, 2019. — 247 p. — ISBN: 1119526817. Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R,...
Leanpub, 2019. — 703 p. The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book 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 such as R...
Packt Publishing, 2019. — 124 p. — ISBN: 1789132984. Big data processing and analytics at speed and scale using command line tools. The Command Line has been in existence on Unix-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining,...
Packt, 2019. — 124 p. — ISBN: 1789132984. Big data processing and analytics at speed and scale using command line tools. The Command Line has been in existence on Unix-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing,...
Packt Publishing, 2019. — 124 p. — ISBN: 1789132984. Big data processing and analytics at speed and scale using command line tools. The Command Line has been in existence on Unix-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining,...
O’Reilly Media, 2018. — 347 p. — ISBN: 1492032794. Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and...
Packt Publishing, 2018. - 364 p. - ISBN: 978-1788831192 !Code files only Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features Use Anaconda to find solutions for clustering, classification, and linear regression Analyze your data efficiently with the most powerful data science stack Use the Anaconda cloud to...
Packt Publishing, 2018. - 364 p. - ISBN: 978-1788831192 Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features Use Anaconda to find solutions for clustering, classification, and linear regression Analyze your data efficiently with the most powerful data science stack Use the Anaconda cloud to store, share, and...
Packt Publishing, 2018. - 364 p. - ISBN: 978-1788831192 Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features Use Anaconda to find solutions for clustering, classification, and linear regression Analyze your data efficiently with the most powerful data science stack Use the Anaconda cloud to store, share, and...
Apress, 2019. — 356 p. Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in...
Apress, 2019. — 356 p. Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in...
O’Reilly, 2018. — 218 p. — ISBN: 1491953241. Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features — the numeric representations of raw data — into formats for machine-learning models. Each chapter guides you through a single...
O’Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
O’Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
O’Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
John Wiley & Sons, 2004. — 241 p. — ISBN: 0-470-86120-7. Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous...
Apress, 2018. — 821 p. — ISBN: 1484230531. 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 Andreas Vermeulen...
Apress, 2018. — 821 p. — ISBN: 1484230531. 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 Andreas Vermeulen...
O’Reilly Media, 2011. — 137 p. This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered...
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...
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...
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...
O’Reilly, 2014. — 212 p. — ISBN: 1491947853. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started — whether you’re on Windows, OS X, or Linux —...
O’Reilly, 2014. — 212 p. — ISBN: 1491947853. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started — whether you’re on Windows, OS X, or Linux —...
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...
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...
Manning Publications, 2017. — 266 p. — ISBN: 978-1617292286. Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and EPUB formats from Manning...
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...
Packt Publishing, 2017. — 596 p. — ISBN13: 9781787281349. True PDF 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...
Packt Publishing, 2017. - 327 p. - ISBN: 978-1785886188 Key Features A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and real-world...
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. — 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. — 404 p. — ISBN: 978-1-78528-194-5. When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address...
Manning Publications, 2017. — 328 p. — ISBN: 978-1633430273. Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems. Purchase of the print book includes a free eBook in PDF, Kindle, and EPUB formats...
O’Reilly, 2013. — 178 p. — ISBN: 978-1-449-32626-5. Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your...
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...
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...
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, 2015. — 156 p. — ISBN13: 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyze, 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...
Packt Publishing, 2015. — 156 p. — ISBN13: 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyze, 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...
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....
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....
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....
O’Reilly Media, 2016. — 672 p. — ISBN: 978-1491912058. The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g.,...
Packt Publishing, 2017. — 348 p. — ISBN: 1786467208. Key Features This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures Use this easy-to-follow guide to build fast data processing systems for...
Apress, 2017. — 289 p. — ISBN: 1484226135, 9781484226131 Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing,...
Packt Publishing, 2017. — 389 p. — ISBN: 978-1-78588-791-8 Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll feel confident about asking — and answering — complex and sophisticated questions of your data to...
Amazon Digital Services LLC, 2016. — 39 p. — ASIN B01K5H3JQE. This book introduces the fundamental concepts of genetic algorithms in theory followed by a walk-through on the design and implementation of a genetic algorithms project.
Amazon Digital Services LLC, 2016. — 54 p. — ASIN B01K5H3JQE. This book introduces the fundamental concepts of genetic algorithms in theory followed by a walk-through on the design and implementation of a genetic algorithms project.
Amazon Digital Services LLC, 2016. — 54 p. — ASIN B01K5H3JQE. This book introduces the fundamental concepts of genetic algorithms in theory followed by a walk-through on the design and implementation of a genetic algorithms project.
O’Reilly Media Inc., 2016. — 25 p. To satisfy end users who want easily accessible answers, many software vendors are looking to add analytics and reporting capabilities to their applications. Embedding analytics into applications can lead to wider adoption and product use, improved user experience, and differentiated products, but embedding analytics can also come with...
O’Reilly, March 2016. — 59 p. Digging for answers to your pressing business questions probably won’t resemble those tidy case studies that lead you step-by-step from data collection to cool insights. Data science is not so clear-cut in the real world. Instead of high-quality data with the right velocity, variety, and volume, many data scientists have to work with missing or...
Apress, 2016. — 276 p. — ISBN: 1484213122, 9781484213124, 9781484213117 Management blamed many factors for the sluggish sales: long sales cycles, a sluggish economy, and unfavorable currency movement. But worldwide spending on business analytics increased during this period and some vendors reported double-digit revenue growth. Blaming Teradata’s struggles on poor leadership...
2nd Edition. — Manning, 2016. — 325 p. — ISBN: 978-1617292583. There’s priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction....
New York: Manning, 2016. - 322 p. Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle,...
2nd Edition. — CRC Press, 2001. — 535 p. — ISBN: 1420035568, 9781420035568. Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent...
O’Reilly Media, 2015. - 162 p. Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for...
N.-Y.: Apres, 2015. - 263 p. Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery,...
Packt Publishing, 2015. - 130 p. Build and personalize your own classifiers using Apache Mahout This book is a practical guide that explains the classification algorithms provided in Apache Mahout with the help of actual examples. Starting with the introduction of classification and model evaluation techniques, we will explore Apache Mahout and learn why it is a good choice for...
Packt Publishing, 2015. — 250 p. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout In the past few years the generation of data and our capability to store and process it has grown exponentially. There is a need for scalable analytics frameworks and people with the right skills to get the information needed from this Big Data. Apache...
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