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  • © 2021

Statistical Learning with Math and Python

100 Exercises for Building Logic

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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 Python source programs rather than how to use ready-made Python packages

  • Written in an easy-to-follow and self-contained style

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eBook
USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-981-15-7877-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
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  • Tax calculation will be finalised during checkout
Softcover Book
USD 44.99
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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
  2. Linear Algebra

    • Joe Suzuki
    Pages 1-17
  3. Linear Regression

    • Joe Suzuki
    Pages 19-51
  4. Classification

    • Joe Suzuki
    Pages 53-75
  5. Resampling

    • Joe Suzuki
    Pages 77-94
  6. Information Criteria

    • Joe Suzuki
    Pages 95-114
  7. Regularization

    • Joe Suzuki
    Pages 115-131
  8. Nonlinear Regression

    • Joe Suzuki
    Pages 133-169
  9. Decision Trees

    • Joe Suzuki
    Pages 171-198
  10. Support Vector Machine

    • Joe Suzuki
    Pages 199-225
  11. Unsupervised Learning

    • Joe Suzuki
    Pages 227-253
  12. Back Matter

    Pages 255-256

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 Python 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
  • Artificial Intelligence
  • Data Mining
  • Unsupervised Learning
  • Linear Regression
  • Resampling
  • Information Criteria
  • Support Vector Machine
  • Elements of Statistical Learning
  • Introduction to Statistical Learning
  • Python

Authors and Affiliations

  • Graduate School of Eng Sci, 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 Python

  • Book Subtitle: 100 Exercises for Building Logic

  • Authors: Joe Suzuki

  • DOI: https://doi.org/10.1007/978-981-15-7877-9

  • 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. 2021

  • Softcover ISBN: 978-981-15-7876-2

  • eBook ISBN: 978-981-15-7877-9

  • Edition Number: 1

  • Number of Pages: XI, 256

  • Number of Illustrations: 276 b/w illustrations, 170 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning, Statistical Learning, Computational Intelligence, Data Science

Buying options

eBook
USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-981-15-7877-9
  • 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 44.99
Price excludes VAT (USA)