
[^1]: http://psychology.okstate.edu/faculty/jgrice/psyc5314/Freedm...
[^2]: Sadly really hard to find. We need a cheap reprint of this.
Geron Aurelien's Oreilly book is great - Hands-On Machine Learning with Scikit-Learn and TensorFlow. Get the second edition which covers Tensorflow 2.
Would you recommend some texts that cover this?
A friend suggested:
* Data Analysis: A Bayesian Tutorial by Devinderjit Sivia, John Skilling
* Bayesian Data Analysis, by Andrew Gelman, John B. Carlin, Hal S. Stern
* Introduction to Statistical Inference by Jack C. Kiefer, Gary Lorden
Currently I am working my way through this.
Pattern Recognition and Machine Learning by Christopher M. Bishop
These books are expensive and very time-consuming so it is important to pick the right ones.