Many of my subscribers have asked for some resources to help get them on a path for better understanding with regards to inference and learning. As many individuals have various learning styles there are both reading and video (I would recommend both).

• Book: Murphy — Chapter 1 — Introduction
• Book: Bishop — Chapter 1 — Introduction

• Video: Christopher Bishop — Embracing Uncertainty: The New Machine Intelligence
• Video: Sam Roweis — Machine Learning, Probability and Graphical Models, Part 1
• Video: Iain Murray — Introduction to Machine Learning, Part 1
• Video: Neil Lawrence — What is Machine Learning?

Books mentioned above:

Machine Learning: A Probabilistic Perspective Kevin P. Murphy, MIT Press, 2012.

Pattern Recognition and Machine Learning Christopher M. Bishop, Springer, 2006. An excellent and affordable book on machine learning, with a Bayesian focus. It covers fewer topics than the Murphy book, but goes into more depth on the topics it covers.

If you have resources that you think that I missed, please let me know. If there is a resource that you particularly enjoyed I would like to hear from you as well.