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  • © 2020

Statistical Learning with Math and R

100 Exercises for Building Logic

Authors:

  • 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

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • ISBN: 978-981-15-7568-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 49.99
Price excludes VAT (USA)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xi
  2. Linear Algebra

    • Joe Suzuki
    Pages 1-16
  3. Linear Regression

    • Joe Suzuki
    Pages 17-46
  4. Classification

    • Joe Suzuki
    Pages 47-65
  5. Resampling

    • Joe Suzuki
    Pages 67-82
  6. Information Criteria

    • Joe Suzuki
    Pages 83-100
  7. Regularization

    • Joe Suzuki
    Pages 101-115
  8. Nonlinear Regression

    • Joe Suzuki
    Pages 117-146
  9. Decision Trees

    • Joe Suzuki
    Pages 147-170
  10. Support Vector Machine

    • Joe Suzuki
    Pages 171-192
  11. Unsupervised Learning

    • Joe Suzuki
    Pages 193-214
  12. Correction to: Unsupervised Learning

    • Joe Suzuki
    Pages C1-C1Open Access
  13. Back Matter

    Pages 215-217

About this book

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.


Keywords

  • Machine Learning
  • Statistical Learning
  • R
  • Linear Regression
  • resampling
  • information criteria

Authors and Affiliations

  • Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan

    Joe Suzuki

About the author

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

Bibliographic Information

  • Book Title: Statistical Learning with Math and R

  • Book Subtitle: 100 Exercises for Building Logic

  • Authors: Joe Suzuki

  • DOI: https://doi.org/10.1007/978-981-15-7568-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

  • Softcover ISBN: 978-981-15-7567-9

  • eBook ISBN: 978-981-15-7568-6

  • Edition Number: 1

  • Number of Pages: XI, 217

  • Number of Illustrations: 3 b/w illustrations, 65 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • ISBN: 978-981-15-7568-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 49.99
Price excludes VAT (USA)