Teaching
You can download here various materials from my courses. Feel free
to re-use them or to contact me for additional information.
ML course CS-607, Spring 2011
Aude
Billard and I gave a doctoral course in machine learning (EDIC,
CS-607) in Spring 2011 at the EPFL.
February 23rd lecture (Introduction)
March 2nd lecture (Decision trees)
March 2nd programming session
March 9th lecture (Boosting)
March 9th programming session:
April 20th lecture (Guest lecturer R. Collobert, Artificial Neural
Networks I)
May 4th lecture (Guest lecturer R. Collobert, Artificial Neural
Networks II)
May 11th lecture (PAC learning, conditional independence)
May 18th lecture (Reinforcement learning)
Gaussian Processes
This is
a short
note on Gaussian processes.
C++ programming
You can get an unpolished draft of
the 277 pages
of lecture notes for a C++ course I gave
at University
of Chicago in 2001. I also gave
a similar course (in French)
for Life Sciences
students at the EPFL.