Machine Learning Outline

• Caching
• Learning Decision Trees
• Linear Regression
• Multi-layer Perceptrons with Backprop
• Support Vector Machines
• Chris' Biological Neural Nets
• Chunking
• Bayes
• K-Means Clustering
• Reinforcement Learning
• Conclusion