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Modern Data Science With R (Hardcover) (Benjamin S. Baumer & Daniel T. Kaplan & Nicholas J. Horton)

Modern Data Science With R (Hardcover) (Benjamin S. Baumer & Daniel T. Kaplan & Nicholas J. Horton) - image 1 of 1

About this item

Modern statistical methods allow the analyst to fit and assess models as well as to undertake supervised or unsupervised learning to extract information. Contemporary data science requires tight integration of these statistics, computing, data skills, mathematics and communication. The purpose of this book, which is intended for readers with some background in statistics and modest prior experience in scripting and programming, is to help them develop and practice the appropriate skills to tackle complex data science projects.

Number of Pages: 551
Genre: Business + Money Management, Computers + Internet, Mathematics
Series Title: Texts in Statistical Science
Format: Hardcover
Publisher: Taylor & Francis
Author: Benjamin S. Baumer & Daniel T. Kaplan & Nicholas J. Horton
Language: English
Street Date: February 2, 2017
TCIN: 51825371
UPC: 9781498724487
Item Number (DPCI): 248-34-6000
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$99.95
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