All of Statistics for Machine Learning
Last Updated on August 8, 2019
A foundation in statistics is required to be effective as a machine learning practitioner.
The book “All of Statistics” was written specifically to provide a foundation in probability and statistics for computer science undergraduates that may have an interest in data mining and machine learning. As such, it is often recommended as a book to machine learning practitioners interested in expanding their understanding of statistics.
In this post, you will discover the book “All of Statistics”, the topics it covers, and a reading list intended for machine learning practitioners.
After reading this post, you will know:
- Larry Wasserman wrote “All of Statistics” to quickly bring computer science students up to speed with probability and statistics.
- The book provides a broad coverage of the field of statistics with a focus on the mathematical presentation of the topics covered.
- The book covers much more than is required by machine learning practitioners, but a select reading of topics will be helpful for those that prefer a mathematical treatment.
Kick-start your project with my new book Statistics for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.