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Statistical Regression and Classification : From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

By: Norman Matloff (Author)

Manufacture on Demand

Ksh 40,550.00

Format: Hardback or Cased Book

ISBN-10: 113806646X

ISBN-13: 9781138066465

Collection / Series: Chapman & Hall/CRC Texts in Statistical Science

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 20th, 2017

Publication Status: Active

Product extent: 532 Pages

Weight: 1140.00 grams

Product Classification / Subject(s): Probability & statistics

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This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses math stat very sparingly and always in the context of something concrete, which means that readers can skip the math stat content entirely if they wish. The extras section is for those who feel comfortable with analysis using math stat.

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