Bishop, Christopher M.

• Introduction
• Probability Distributions
• Linear Models for Regression
• Linear Models for Classification
• Neural Networks
• Kernel Methods
• Sparse Kernel Machines
• Graphical Models
• Mixture Models and EM
• Approximate Inference
• Sampling Methods
• Continuous Latent Variables
• Sequential Data
• Combining Models

Appendix

• Data Sets
• Probability Distributions
• Properties of Matrices
• Calculus of Variations
• Lagrange Multipliers

Pattern Recognition and Machine Learning. Christopher M. Bishop. www.microsoft.com . Feb 1, 2006.