Statistical Methods for Machine Learning
Author | : Jason Brownlee |
Publisher | : Machine Learning Mastery |
Total Pages | : 291 |
Release | : 2018-05-30 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Statistical Methods for Machine Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-05-30 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in statistics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more.