tudorcebere / PRML

PRML algorithms implemented in Python

PRML

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

Notebook usage

Add the top-dir to path, in order to easily make use of prml module:

import sys, os
__path = os.path.join(sys.path[0], '..')
if __path not in sys.path:
    sys.path.insert(0, __path)

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