Lecture 13 | Machine Learning (Stanford)

Lecture 13 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Department of Information Technology at Stanford University. Professor Ng lectures on maximize - expected in a mixture of Gaussian models and naive Bayes, and analysis of factors and by extension for.



Fully operational for the session:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 course sites:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University site on YouTube:
http://www.youtube.com/stanford

Lecture 13 | Machine Learning (Stanford)