INTRODUCTION TO MACHINE LEARNING

By Q. RAERE

1 INTRODUCTION 2 SUPERVISED LEARNING 3 BAYESIAN DECISION THEORY 4 PARAMETRIC METHODS 5 MULTIVARIATE METHODS 6 DIMENSIONALITY REDUCTION 7 CLUSTERING 8 NONPARAMETRIC METHODS 9 DECISION TREES 10 LINEAR DISCRIMINATION 11 MULTILAYER PERCEPTRONS 12 DEEP LEARNING 13 LOCAL MODELS