Machine Learning Courses and Lecture Notes

=Machine Learning Courses and Lecture Notes=

Information Theory, Pattern Recognition, and Neural Networks by David J.C. MacKay
Information Theory, Pattern Recognition, and Neural Networks by David J.C. MacKay Very good lectures with the slides. This can be read along with the Author book]

Data Mining by Shilazi
Data Mining by ShilaziA very collection of lecture notes. A very highly recommended

Machine Learning Course by Andrew Ng
Machine Learning lecture notes by Andrew Ng

Machine Learning Course by Andrew Ng (Stanford version)

Coursera Machine Learning Course by Andrew Ng (less technical but also more easily digestible so beginners will like it)

Pattern Recognition and it's application by Prof P. S. Sastry
nptel lectures by Prof P. S. Sastry

Pattern Recognition and Application by Prof P.K. Biswas
nptel lectures by Prof P.K. Biswas

Probabilistic Graphical Model by Daphne Kellar
Probabilistic Graphical Model by Daphne Kellar She is very good teacher and explains the complex topics in easy and step by step manner

Probabilistic Graphical Model by Sam Roweis
Probabilistic Graphical Models Lectures by Sam Roweis A Very good lectures given at mlss for 6 hours and is somewhat concise and it is very informative and entertaining.

ML and PGM course by Srihari
ML and PGM course by Srihari Mostly lecture notes, which is kind of ok. (note not all the video lectures are there)

Artificial Intelligence by Prof. P. Dasgupta
nptel lectures by Prof. P. Dasgupta

Artificial Intelligence by Prof. Deepak Khemani
nptel lectures by Prof. Deepak Khemani

Applied Multivariate Statistical Model by Dr. J. Maiti
nptel lectures by Dr. J. Maiti