Favourite Books and Courses
- Probabilistic Graphical Models Principles and Techniques - Daphne Koller, 2009. [pdf]
- Gaussian Processes for Machine Learning - Thomas Dietterich, 2006. [pdf]
- Machine Learning - Nando de Freitas, 2013. [Slides][Videos]
- Topic Modeling - David M. Blei, 2009. [Slides][Videos]
- Dirichlet Process - Yee Whye Teh, 2007. [Slides & Videos]
- Deep Learning Tutorial - Russ Salakhutdinov, KDD 2014. [Slides]