O’Reilly Media, 2016. — 672 р. — 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.,...
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...
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...
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, 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, Inc., 2022. — 328 p. — ISBN 978-1-098-12061-0. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is...
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 Chatbot can be trained...
No Starch Press, 2023. — 390 р. — ISBN-13: 978-1-7185-0289-5. Learn how to use Data Science and Python to solve everyday business problems. Dive into the exciting world of Data Science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power...
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 grow...
2nd Edition. — O’Reilly Media, 2023. — 550 р. — ISBN 978-1-098-12122-8. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all–IPython,...
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...
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...
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—author...
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, 2020. — 287 p. — ISBN 1492075256, 9781492075257. Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this...
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, 2020. — 830 p. — ISBN: 978-1-119-62613-8. Your logical, linear guide to the fundamentals of data science programming Data science is exploding―in a good way―with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide...
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...
BPB Publications, 2021. — 447 p. — ISBN 978-93-89423-280. 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 The book...
Manning Publication, 2020. — 354 p. — ISBN: 978-1617296246. You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. What are the keys to a data scientist’s long-term success?...
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 Publishing, 2021. — 384 p. — ISBN 978-1-80181-747-9. 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...
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. — John Wiley and Sons, Inc., 2025. — 368 p. — ISBN: 978-1-394-23449-3. Practical, accessible guide to becoming a data scientist, updated to include the latest advances in Data Science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business...
BPB Publications, 2024. — 581 р. — ISBN: 978-9355519566. Analyze, Architect, and Innovate with Databricks Lakehouse. The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results....
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 Media, Inc., 2025. — 350 р. — ISBN-13: 978-1-098-16581-9. Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion,...
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, 2018. - 364p. - 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...
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...
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...
Packt Publishing, 2017. - 327p. - 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...
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...
ACM Books, 2019. — 238 p. — ISBN: 978-1-4503-7154-4 EPUB. Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most...
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...
Independently published, 2024. — 432 p. Наука о данных: новая тенденция в инженерии, науке и технологиях 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...
Jan Novotny, Paul A. Bilokon, Aris Galiotos and Frédéric Délèze. — John Wiley & Sons Ltd, 2020. — 866 p. — ISBN: 978-1-119-40473-6 (EPUB). Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database...
Packt Publishing, 2015. — 156 p. — ISBN13: 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes...
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 Media, 2021. — 250 p. — ISBN 978-1492062417. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their...
4th Еdition. — Reactive Publishing, 2024. — 274 p. — ASIN: B0CTL2YMH2. Reactive Publishing Dive into the world of data science with a cutting-edge twist in Hayden Van Der Post's latest book, "Rust Fundamentals for Data Science". This comprehensive guide is a must-have for data professionals eager to harness the power of Rust, a language renowned for its speed, reliability, and...
Manning Publications, 2021. — 512 p. — ISBN: 978-1617298899. A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. How to Lead in Data Science is full of techniques for leading data science at every seniority level—from heading up a single project to overseeing a whole company's data...
Manning Publications, 2020. — 350 p. — ISBN 978-1617296529. The beating heart of any product or service business is returning clients. Don’t let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you’ll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe...
O’Reilly, 2020. — 166 p. — ISBN: 978-1492072744. Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research,...
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 from...
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 working...
O’Reilly Media, Inc., September 2021. — 198 p. — ISBN 978-1-492-09340-4. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both...
AI Publishing, 2020. — 308 p. — ISBN B08QJMNVCX. Data Science Crash Course for Beginners with Python Data Science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role. A...
Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu. — Addison-Wesley Professional/Pearson Education, 2025. — 320 p. — ISBN-13 978-0-13-826141-2. Инженерные системы искусственного интеллекта: основы архитектуры и DevOps Transform Your Business with AI: The Ultimate Guide to Engineering AI Systems. Master the Engineering of AI Systems: The Essential Guide for Architects and Developers...
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, 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, 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, 2024. — 646 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,...
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, Inc., 2024. — 571 р. — ISBN-13: 978-1-098-15999-3. Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and...
O’Reilly Media, Inc., 2021. — 576 p. — ISBN 978-1-098-10179-4. 2021-10-01: First Release 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,...
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,...
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...
Apress Media LLC, 2023. — 257 p. — ISBN-13: 978-1-4842-8954-9. This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You'll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines...
BCS, The Chartered Institute for IT, 2025. — 312 p. — ISBN 978-1-78017-7007. While Data Science is powering most modern organisations its technical intricacies often remain confined to a select few. This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects...
Independently published, 2021. — 219 p. — ISBN B08WM25W52. Data analysis is time-consuming and causes undue stress to physician assistant (PA) faculty. Yet the truth is that failure to gather and analyze data for positive program improvements can result in deleterious effects within your program, particularly accreditation related challenges. This eBook was designed for you: a...
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,...
The MIT Press, 2023. — 216 р. — ISBN: 978-0262376617. A guide to everything you need to understand to navigate a world increasingly governed by data. Data has become a defining issue of current times. Our everyday lives are shaped by the data that is produced about us (and by us) through digital technologies. In this book, Critical Data Literacies, Luci Pangrazio and Neil...
No Starch Press, 2022. — 224. — ISBN 13: 978-1098156657. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you'll create analytic...
Apress Media LLC., 2020. — 120 p. — ISBN13: (electronic): 978-1-4842-6103-3. Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that...
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...
Independently published, 2025. – 111 p. – ISBN 9798317027308 101 Рисунка для науки о данных 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...
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, 2021. — 272 p. — ISBN 978-1484268698. Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of...
O’Reilly Media, 2023. — 200 р. — ISBN-13: 978-1-098-13531-7. Combing the web is simple, but how do you search for data at work? It’s difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations,...
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...
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...
Apress Media LLC, 2025. — 231 p. — ISBN-13: 979-8-8688-1070-1. In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science,...
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,...
O’Reilly Media, Flux Capacitor, 2025. – 365 p. – ISBN 979-8-341-62778-9. Elevate your AI system performance capabilities with this definitive guide to unlocking peak efficiency across every layer of your AI infrastructure. In today's era of ever-growing generative models, AI Systems Performance Engineering equips professionals with actionable strategies to co-optimize hardware,...
Apress, 2020. — 231 p. — ISBN13: (electronic): 978-1-4842-5653-4. Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems. The...
O’Reilly, 2019. — 154 p. — ISBN: 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...
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...
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.
Packt, 2020. — 575 p. — ISBN: 9781839215001. Simplify your ETL processes with these hands-on tips, tricks, and best practices Key Features Focus on the basics of data wrangling Study various ways to extract the most out of your data in less time Boost your learning curve with bonus topics, such as random data generation and data integrity checks Book Description Though huge...
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 book...
Independently published, 2024. — 157 р. — ISBN 979-8329504392, ASIN B0D8QTGD9H. This clear and accessible guide is your gateway to mastering the fundamental principles and cutting-edge advancements in computer science. In today's technology-driven world, understanding computer science is becoming more essential. Whether you're a complete beginner, a student looking to enhance...
Apress, 2020. — 253 p. — ISBN13: (electronic): 978-1-4842-5361-8. Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations,...
Independently published, 2021. — 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...
Apress Media LLC, 2022. — 341 p. — ISBN-13: 978-1-4842-8670-8 Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are...
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...
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 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, 2024. — 270 p. 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 (AI) become prevalent...
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 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...
Bentham Books, 2023. — 223 р. — ISBN: 978-981-5124-85-9. Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of Data Science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in Data Science, enabling readers to...
Springer, 2024. — 365 p. — (Compact Textbooks in Mathematics). — ISBN 978-3-031-59800-5. This textbook offers an introduction to topics in algorithms and programming with Python. It is originally intended for mathematical students not sufficiently aware about these Computer Science fields seeking a deeper understanding. It addresses fundamental questions on how to analyze the...
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...
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...
Independently published, 2023. — 219 p. Программист-аскет: как аскетизм приносит пользу программированию, науке и искусству Ascetic programming is the writing of computer programs using fewer lines of code or forgoing certain programming language features. Imposing restrictions on programming other than those on resources goes at least as far back as Edsger W. Dijkstra's...
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...
Springer, 2022. — 111 p. This book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary process of retrieval systems. Epidata affords pathways and points to details that cast...
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...
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...
Apress Media LLC, 2022. — 376 p. — ISBN-13 (electronic): 978-1-4842-7419-4. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts,...
Independently published, 2021. — 375 p. — ASIN B08Z483L62. Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and...
Independently published, 2020. — 190 p.— ISBN B08RYK6549, 9798590243471. Are you tired of books over-complicating computer concepts? Do you want to learn about data analytics but can’t find a book with decent computer concept delivery? Are you intimidated by the menacing formulas and all the technical talk when you just want to enjoy some simple data analysis? Are you trying to...
Independently published, 2020. — 150 p.— ISBN B08RTQRC1C, 9798590251827. Are you interested in learning one of the sexiest jobs of the century? That’s what Harvard Business School terms data science as. Let’s face it; data scientists possess skills and qualities that are in more demand now than ever before and that’s not surprising, given the sheer amount of data the world...
Manning Publications Co., 2023. — 192 p. — ISBN 978-1633438774. Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetize it yourself. Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. The book lays out how businesses...
Pawan Whig, Sachinn Sharma, Seema Sharma, Anupriya Jain, Nikhitha Yathiraju. — IGI Global, 2024. — 334 р. — ISBN 979-8369329108. Our aim with this book was to bridge the gap between theoretical understanding and practical implementation in Data Science. By showcasing real-world applications, case studies, and innovative methodologies, we have provided readers with a holistic...
John Ennis, Julien Delarue, Thierry Worch, Vanessa Rios De Souza. — Chapman and Hall/CRC, 2024. — 332 p. — ISBN:978-0-367-86287-9/ Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data...
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