Powerpoint slides:

• 01 - Machine learning (introduction)
• 02 - Basic notions related to machine learning
• 03 - The basics of Bayes decision theory
• 04 - Fitting Gaussians - ML and Bayes
• 05 - Gaussian Mixture Models and EM
• 06 - Nonparametric methods
• 07 - Decision trees
• 08 - Linear classifiers
• 09 - SVM
• 10 - Artificial Neural Networks
• 11 - Deep Neural Networks
• 12 - Ensemble learning
• 13 - Feature space transformations

Videos:

• 12 - Ensemble learning