PRML

Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning"

Required Packages

• python 3
• numpy
• scipy
• jupyter (optional: to run jupyter notebooks)
• matplotlib (optional: to plot results in the notebooks)
• sklearn (optional: to fetch data)

Notebooks

• ch1. Introduction
• ch2. Probability Distributions
• ch3. Linear Models for Regression
• ch4. Linear Models for Classification
• ch5. Neural Networks
• ch6. Kernel Methods
• ch7. Sparse Kernel Machines
• ch9. Mixture Models and EM
• ch10. Approximate Inference
• ch11. Sampling Methods
• ch12. Continuous Latent Variables

Sponser

https://tracking.gitads.io/?repo=PRML