Artificial Intelligence - Machine Learning

I just end my reading on Artificial Intelligence with a modern approach. 3rd ed. Perter Norvig. I have used this book mainly as an introduction, and to learn more about the general concept of AI. I will soon start studying in a learning group with one of my professors and I would like to know if anyone knows any good books to learn more about the learning engine (especially neural networks, but not only about it).

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Here are some excerpts from the reading list of a course I recently completed :

 

Basic tutorial

Machine Learning from Tom Mitchell, McGraw-Hill Press, 1997

 

Neural networks

D. Chen and P. Burrell, " Reasoning Theory and Artificial Neural Networks: An Overview (pdf file) , in Neural Computing and Applications, Vol. 10, No. 3, pp. 264-276, 2001 (Copyright 2001 Springer).



MF Valstar and M. Pantic, Biologically versus logic inspired the encoding of facial actions and emotions in video (pdf file) , in Proc. IEEE Int'l Conf. at Multimedia & Expo (ICME '06), Toronto, Canada, July 2006 (Copyright 2006 IEEE Press).

S. Petridis and M. Pantic, “ Audiovisual Discrimination Between Laughter and Speech (pdf file) , in Proc. IEEE Int'l Conf. Acoustics, Speech and Signal Processing (ICASSP '08), pp. 5117-5120 , Las Vegas, USA, April 2008 (Copyright and copy, 2008 IEEE Press).

 

Excellent books

Classification of templates R.O. Duda, P.E Hart and D.G. Stork, John Wiley Press, 2005.

Pattern Recognition and Machine Learning by Christopher Bishop, Springer, 2006

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You can check out these free online courses:



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Elements of statistical learning

This book (there is a free PDF available on the web page) is an excellent and almost comprehensive overview of the field of machine learning. I know it sounds a little presumptuous, but it's good.

By the way, although the book by Norvig and Russell is very good, it gives almost nothing about the mechanism of learning. So PDF will be tough if you're not sure about your math background.

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