# PRML

**Repository Path**: mirrors_lepy/PRML

## Basic Information

- **Project Name**: PRML
- **Description**: PRML algorithms implemented in Python
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-25
- **Last Updated**: 2025-07-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch01_Introduction.ipynb)
- [ch2. Probability Distributions](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch02_Probability_Distributions.ipynb)
- [ch3. Linear Models for Regression](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch03_Linear_Models_for_Regression.ipynb)
- [ch4. Linear Models for Classification](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch04_Linear_Models_for_Classfication.ipynb)
- [ch5. Neural Networks](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch05_Neural_Networks.ipynb)
- [ch6. Kernel Methods](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch06_Kernel_Methods.ipynb)
- [ch7. Sparse Kernel Machines](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch07_Sparse_Kernel_Machines.ipynb)
- [ch9. Mixture Models and EM](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch09_Mixture_Models_and_EM.ipynb)
- [ch10. Approximate Inference](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch10_Approximate_Inference.ipynb)
- [ch11. Sampling Methods](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch11_Sampling_Methods.ipynb)
- [ch12. Continuous Latent Variables](https://nbviewer.jupyter.org/github/ctgk/PRML/blob/master/notebooks/ch12_Continuous_Latent_Variables.ipynb)