2 ms·
Of the top of my head, - Machine Learning by Tom M Mitchell http://www.cs.cmu.edu/~tom/mlbook.html http://www.cs.cmu.edu/~tom/mlbook.html For general reading
by maurits 15y ago
Of the top of my head,
- Machine Learning by Tom M Mitchell
http://www.cs.cmu.edu/~tom/mlbook.html http://www.cs.cmu.edu/~tom/mlbook.html
For general reading and introductions I also like:
- Pattern Classification by Richard Duda
- Pattern Recognition and Machine Learning by
Christopher Bishop
For a bit more emphasis on statistics and math, I usually dive in to
- Classification,Parameter Estimation and State Estimation by van der Heijden
And last, but certainly not least:
- Information Theory, Inference, and Learning Algorithms by
David MacKay, available here:
http://www.inference.phy.cam.ac.uk/mackay/itila/ http://www.inference.phy.cam.ac.uk/mackay/itila/
- edtechre 15y agoExcellent, many thanks. I've read O'Reilly's Collective Intelligence. It's a great introductory survey, but it was very light on theory. I also own Collective Intelligence in Action. It had more explanation of theory than O'Reilly's offering, but most of the chapters devolved into how to use Java data mining framework X.