Is anyone here an active researcher/practitioner of machine learning algorithms, or interested in learning more? I've been using a few free, graphical tools to play around with some simple algorithms (Weka, Knime, RapidMiner), and I'm looking to expanding into some of the Python modules for machine learning: Pycluster, pyml, etc. R also has some nice packages for machine learning that I'll probably get around to fooling with, too. Are there any good references that people have found particularly helpful? The following books/references are on my have read/will read list: http://www.cs.waikato.ac.nz/ml/weka/book.html http://www-stat.stanford.edu/~tibs/ElemStatLearn/ http://rapid-i.com/content/view/181/190/ http://www.knime.org/ Anyway, if anyone else is interested in doing a self-study course, let's talk. My goal is to use the Python modules to solve an actual problem. Which modules, and which problem are both undecided, but there are about 5 that I can think of that would mean a big bonus for me Please Register or Log in to view the hidden image! I'd say you should be proficient in either Python or R, or some other language with ML libraries (not sure about Java, C#, C++, though I suspect all of those languages have good libraries). Math-wise, if you know some basic probability and statistics, and some calculus, you're probably ok. I'm pretty math-proficient (probably better than you, with about 10 exceptions in SciForums), so I can explain anything you (or yall) don't understand.