【推荐】用Python实现"Pattern Recognition and Machine Learning”里的算法

点击上方 “机器学习研究会”可以订阅

摘要

 

转自：爱可可-爱生活

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

链接：

https://github.com/ctgk/PRML

原文链接：

https://m.weibo.cn/1402400261/4178409188158877

“完整内容”请点击【阅读原文】

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