8- List of Textbooks and References :-

a- Course Notes :-

Obtained online from the course instructor.

b- Required Books (Textbooks) :-

- Ethem Alpaydin, Introduction to Machine Learning, February 2010:  ISBN-10: 0-262-01243-X, ISBN-13: 978-0-262-01243-0.

- A First Course in Machine Learning By Simon Rogers, Mark Girolami Published October 25th 2011 by Chapman and Hall/CRC, Vladimir N. Vapnik: Statistical  Learning Theory, Wiley, 1997: ISBN-10: 0471030031.

c- Recommended Books :-

- Pattern Recognition and Machine Learning by Christopher Bishop; 1st Edition. Springer, 2007.

- The Elements of Statistical Learning by T. Hastie, R. Tibshirani, and J. Friedman; 2nd Edition. Springer, 2009.

- John Shawe-Taylor and Nello Cristianini: Kernel Methods for Pattern Analysis, Cambridge University Press, 2004: ISBN-10: 0521813972.

d- Periodicals, Web Sites, ..., etc.