The Big R-Book
From Data Science to Learning Machines and Big Data
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Introduces professionals and scientists to statistics and machine learning using the programming language R
Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science.
The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices.
- Provides a practical guide for non-experts with a focus on business users
- Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting
- Uses a practical tone and integrates multiple topics in a coherent framework
- Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R
- Shows readers how to visualize results in static and interactive reports
- Supplementary materials includes PDF slides based on the book's content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site
The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Table of Contents
- Foreword
- About the Companion Site
- About the Author
- Preface
- Acknowledgements
- PART I: Introduction
- PART II: Starting with R and Elements of Statistics
- PART III: Data Import
- PART IV: Data Wrangling
- PART V: Modelling
- PART VI: Introduction to Companies
- PART VII: Reporting
- PART VIII: Bigger and Faster R
- PART IX: Appendices
- Bibliography
- Nomenclature
- Index
- End User License Agreement