Currently pretty inundated with Machine Learning stuff — Here’s a list of a few resources:
David Barber — Bayesian Reasoning and Machine Learning
- the .pdf for this book is free online (make sure to get the 2012 version)
- note: link was broken – adding ‘https’, made it work, but you will get a security certificate warning
LxMLS Labs and Guide
I attended the Lisbon Machine Learning School this Summer, and their lab resources are pretty awesome, if a little unpolished. Everything is done in Python using NumPy, and the lab guide generally assumes that the reader is working with ipython
I also just ordered this book, which is supposed to be a great survey of most topics in Machine Learning. The Amazon reviews are pretty mixed, but it seems like this will eventually become the goto desk reference after a few more editions.