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