Statistical Regression and Classification : From Linear Models to Machine Learning

by Norman Matloff

Book Details

Format Hardback or Cased Book

Book Series Chapman & Hall/CRC Texts in Statistical Science

ISBN-10 113806646X

ISBN-13 9781138066465

Publisher Taylor & Francis Ltd

Imprint CRC Press

Country of Manufacture GB

Country of Publication GB

Publication Date Jul 20th, 2017

Print length 532 Pages

Weight 1,140 grams

Product Classification: Probability & statistics

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Ksh 30,600.00

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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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