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| #235569 in Books | imusti | 2014-04-13 | Original language:English | PDF # 1 | 9.10 x1.00 x7.30l,1.53 | File type: PDF | 389 pages | Manning Publications||2 of 2 people found the following review helpful.| A good how-to with consideration to business problems|By Ng Hon Ming|This is the most practical R book on enterprise approach to data analytics. Rarely any book that can spare several chapters on preparing data, which in fact build the foundation of a good modeling. However, I would prefer the data cleansing and the big data algorithm on data mining algorithm be expanded furthe|About the Author|
|Nina Zumel co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina al
Summary
Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
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You can specify the type of files you want, for your device.Practical Data Science with R | Nina Zumel, John Mount.Not only was the story interesting, engaging and relatable, it also teaches lessons.
