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.