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, 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...
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...
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...
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...
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., 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, 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...
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...
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...
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...
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...
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. — 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...
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...
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....
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...
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....
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...
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,...
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...
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...
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, 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 —...
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, 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...
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...
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...
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...
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, 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...
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,...
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...
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...
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.
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...
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...
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...
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, 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,...
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...
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...
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, 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,...
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...
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...
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...
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, 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...
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...
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,...
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...
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...
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. — 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...
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...
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...
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...
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 –...
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.,...
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...
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...
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...
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, 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...
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