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Practical Data Science with R

Practical Data Science with R

Nina Zumel, John Mount
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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.
년:
2019
판:
2nd Edition
출판사:
Manning Publications
언어:
english
페이지:
483
ISBN 10:
1617295876
ISBN 13:
9781617295874
파일:
PDF, 24.23 MB
IPFS:
CID , CID Blake2b
english, 2019
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