INTRODUCING MACHINE LEARNING AND 2 METHODS OF SUPERVISED LEARNING

PRESENTING ML OBSTACLES AND DIFFERENT WAYS OF ADDRESSING THEM

PRESENTING KERNEL METHODS

INTRODUCES UNSUPERVISED LEARNING, ITS DIFFERENT ALGORITHMS, AND ITS PERFORMANCE EVALUATION

PRESENTING COMPUTATIONAL LEARNING THEORY AND MODEL EVALUATION METHODS