6.858/18.428: Machine Learning
This is the web home page for 6.858/18.428, a course offered at
MIT in the 1994 fall semester.
This course deals with the following topics:
- Formal models of machine learning
- Learning concepts from examples
- Learnable classes of concepts
- PAC learning
- VC-dimension
- Bayesian Inference
- Neural Nets
- Learning from queries
- Learning with noise
- Learning finite automata
- Hidden Markov Models
The following course materials are available on-line:
Ron Rivest (rivest@theory.lcs.mit.edu)
Mona Singh (mona@theory.lcs.mit.edu)