PRML

Implementation of algorithms from Bishop's book "Pattern Recognition and Machine Learning" in Julia.

List of Chapters

Chapter 3: Linear Models for Regression
Chapter 4: Linear Models for Classification
Chapter 5: Neural Networks
Chapter 6: Kernel Methods
Chapter 7: Sparse Kernel Machines
Chapter 8: Graphical Models
Chapter 9: Mixture Models and EM
Chapter 10: Approximate Inference
Chapter 11: Sampling Methods
Chapter 12: Continuous Latent Variables
Chapter 13: Sequential Data
Chapter 14: Combining Models