Statistics in Plain English for Machine Learning

Last Updated on August 8, 2019

There is an ocean of books on statistics; where do you start?

A big problem in choosing a beginner book on statistics is that a book may suffer one of two common problems.

It may be a mathematical textbook filled with derivations, special cases, and proofs for each statistical method with little idea for the intuition for the method or how to use it. Or it may be a playbook for a proprietary or ancient statistical package with little relevance to the libraries and problems you face.

In this post, you will discover the book “Statistics in Plain English” for learning about statistical methods without getting too bogged down in theory nor implementation details.

After reading this post, you will know:

• That the book is intended to provide a clear presentation of statistical methods for practitioners.
• The contents of the book focus on the foundations, Gaussian distribution, and parametric statistical hypothesis tests.
• A careful reading list can be used to learn about the specific methods relevant to machine learning practitioners.

Kick-start your project with my new book Statistics for Machine Learning, including step-by-step tutorials and the Python source code files for
To finish reading, please visit source site