The Big Rbook From Data Science To Learning Machines And Big Data 1st Edition Philippe J S De Brouwer by Philippe J. S. De Brouwer 9781119632726, 1119632722 instant download after payment.

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

This book is in progress. No cover page and has layout markings on every page (does not interfere with text).