Statistical Learning with Math and R

100 Exercises for Building Logic

Authors: Suzuki, Joe

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  • Equips readers with the logic required for machine learning and data science via math and programming
  • Provides in-depth understanding of R source programs rather than how to use ready-made R packages
  • Written in an easy-to-follow and self-contained style
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  • ISBN 978-981-15-7568-6
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About this Textbook

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs.

As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised learning.

Each chapter mathematically formulates and solves machine learning problems and builds the programs. The body of a chapter is accompanied by proofs and programs in an appendix, with exercises at the end of the chapter. Because the book is carefully organized to provide the solutions to the exercises in each chapter, readers can solve the total of 100 exercises by simply following the contents of each chapter.

This textbook is suitable for an undergraduate or graduate course consisting of about 12 lectures. Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning.

 

About the authors

Joe Suzuki is a professor of statistics at Osaka University, Japan. He has published more than 100 papers on graphical models and information theory.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $34.99
price for Brazil
  • ISBN 978-981-15-7568-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Softcover $44.99
price for Brazil
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Learning with Math and R
Book Subtitle
100 Exercises for Building Logic
Authors
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-7568-6
DOI
10.1007/978-981-15-7568-6
Softcover ISBN
978-981-15-7567-9
Edition Number
1
Number of Pages
XI, 217
Number of Illustrations
5 b/w illustrations, 65 illustrations in colour
Topics