Introduction Introduction to Machine Learning - 10-701/15-781 Content Machine Learning Problems Classification, Regression, Annotation Forecasting Novelty detection

Data Labeled, unlabeled Semi-supervised, transductive, responsive environment, covariate shift

Applications Optical character recognition Bioinformatics Computational advertising Self-driving cars Network security

Videos This is unedited video straight from a Lumix GF2. It should help as a supplement with the slides.