This invaluable addition to any data scientist’s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Review
recommended.” — From the Foreword by Jeremy Howard and Rachel Thomas”Great examples and an informative walk-through of the data science
process.” — David Meza, NASA”Offers interesting perspectives that cover many aspects of
practical data science; a good reference.” — Pascal Barbedor, BL SET
“R you ready to get data science done the right way?” — Taylor Dolezal, Disney Studios
Product details
- Item Weight : ۲.۲۹ pounds
- Paperback : ۴۸۳ pages
- ISBN-10 : ۱۶۱۷۲۹۵۸۷۶
- ISBN-13 : ۹۷۸-۱۶۱۷۲۹۵۸۷۴
- Dimensions : ۷.۳۸ x 1.2 x 9.25 inches
- Publisher : Manning Publications; 2nd edition (December 7, 2019)
- Language: : English
- # Software Design Tools
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