Introduction
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.