Statistical Regression and Classification : From Linear Models to Machine Learning
Book Details
Format
Paperback / Softback
Book Series
Chapman & Hall/CRC Texts in Statistical Science
ISBN-10
1498710913
ISBN-13
9781498710916
Publisher
Taylor & Francis Inc
Imprint
Chapman & Hall/CRC
Country of Manufacture
US
Country of Publication
GB
Publication Date
Aug 1st, 2017
Print length
532 Pages
Weight
806 grams
Dimensions
23.70 x 16.00 x 3.20 cms
Product Classification:
Probability & statistics
Ksh 13,950.00
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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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