Statistical Learning with Math and Python is popular PDF and ePub book, written by Joe Suzuki in 2021-08-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Statistical Learning with Math and Python can be Read Online from any device for your convenience.

Statistical Learning with Math and Python Book PDF Summary

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.

Detail Book of Statistical Learning with Math and Python PDF

Statistical Learning with Math and Python
  • Author : Joe Suzuki
  • Release : 03 August 2021
  • Publisher : Springer Nature
  • ISBN : 9789811578779
  • Genre : Computers
  • Total Page : 261 pages
  • Language : English
  • PDF File Size : 9,9 Mb

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