Скачать или смотреть Introduction to Practical Data Science with R

Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.

Nina Zumel started her advanced education in electrical engineering at U.C Berkeley and holds a Ph.D. in robotics from Carnegie Mellon. She has worked as a scientist at SRI International, an independent, nonprofit research institute. She has worked as chief scientist of a price optimization company and founded a contract research company. Nina is now a principal consultant at Win-Vector LLC a San Francisco data science consultancy. Nina is the first author of “Practical Data Science with R” (Manning Publications, 2014), blogs about technical issues at http://www.win-vector.com/blog/ , and writes about myths at http://multoghost.wordpress.com

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