Machinelearningbooks

Computer Vision Book:

1) Vision: A Computational Investigation into the Human Representation and Processing of Visual Information (MIT Press) Paperback – July 9, 2010

2) http://www.computervisionmodels.com/

3) Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011 (a free version is available for personal use at http://szeliski.org/Book/)

4) David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach, 2nd Edition, Prentice Hall, 2003

Machine learning:

1) Pattern Recognition and Machine Learning: http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf

Statistical learning:

1) http://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf

Deep learning:

1) http://www.deeplearningbook.org/

Python Reference:

1) http://anandology.com/python-practice-book/index.html

From Dr. Tianfu Wu(http://www4.ncsu.edu/~twu19/)