Fundamental topics to be covered include basic machine learning models such as kernel methods and …

artificial-neural-networks clustering delta-learning-rule dimensionality-reduction feature-selection gaussian-processes kernel-ridge-regression learning-curve machine-learning parameter-learning random-forest