Big R-Book: From Data Science to Learning Machines and Big Data

The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R is a comprehensive guide to statistics and machine learning using the programming language R. It is written by and for practitioners, focusing on tools and methods commonly used in data science, with an emphasis on practice and business use. The book covers a wide range of topics, including big data, databases, statistical machine learning, data wrangling, data visualization, and reporting of results. It is suitable for non-experts with a focus on business users and includes a unique combination of topics such as an introduction to R, machine learning, mathematical models, data wrangling, and reporting. The book uses a practical tone and integrates multiple topics in a coherent framework, demystifying the hype around machine learning and AI by enabling readers to understand the provided models and program them in R. Supplementary materials include PDF slides based on the book's content, as well as all the extracted R-code, and are available to everyone on a Wiley Book Companion Site.

Format: Hardback
Length: 928 pages
Publication date: 03 December 2020
Publisher: John Wiley and Sons Ltd

The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R is a comprehensive guide designed to introduce both professionals and scientists to the world of statistics and machine learning using the powerful programming language R. Written by and for practitioners, this book provides an overall introduction to R, focusing on the tools and methods commonly used in data science and placing emphasis on practical and business applications. Spanning a wide range of topics in a single volume, the book covers big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results.

The book is divided into nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part delves into data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data, while Part 6 introduces the concept of building models. Part 7 explores the reality of working in companies, Part 8 covers reports and interactive applications, and Part 9 introduces the reader to big data and performance computing. Additionally, the book includes helpful appendices that provide further insights and practical examples.

What sets The Big R-Book for Professionals apart is its unique combination of topics, encompassing an introduction to R, machine learning, mathematical models, data wrangling, and reporting. The book employs a practical tone and seamlessly integrates multiple topics into a coherent framework, making it accessible to non-experts with a focus on business users. By demystifying the hype surrounding machine learning and AI, the book enables readers to understand the provided models and program them in R, empowering them to visualize results in both static and interactive formats.

Whether you are a scientist, engineer, data analyst, or business professional seeking to expand your knowledge and skills in data science, The Big R-Book for Professionals is an invaluable resource. With its comprehensive coverage, practical approach, and emphasis on real-world applications, it provides a solid foundation for anyone looking to enter or transition to the growing field of data science. So, whether you are just starting your journey into the world of data or looking to enhance your existing expertise, this book is a must-read for anyone seeking to leverage the power of R in their work.

Weight: 2090g
Dimension: 225 x 287 x 42 (mm)
ISBN-13: 9781119632726