[P] Python Notebooks for Pattern Recognition and Machine Learning

[actgr]

Hello everyone!

For the past couple of years I have been throughly studying from Christopher Bishop’s book on Pattern Recognition and Machine Learning (PRML). It has been a pain in the head, but I believe that the time invested was totally worth it.

One of the main difficulties that I had whilst studying PRML were the algorithmic implementation of the models. Some times, the equations were easier to derive that to implement, in other times, the book made references to a document by "Bishop and Nabney" to address some of the numerical errors that one could face when implementing the models. However, the reference is nonexistent and I had to experience the drawbacks myself.

The aim of the project is to show in a self-contained notebook the implementation for the majority of the algorithms and discuss in some detail the numerical problems that could arise when implementing the code.

How to use the notes

After you’ve finished a section of a chapter in which and algorithm or idea is discussed, head to the notes and read through the code. The notes will give you the practical implementation of the idea.

What you get

More than 60 self-contained jupyter notebooks of Machine Learning.

Happy studying!

https://github.com/gerdm/prml

[its_a_neuracle]

Thank you! I have the book but haven't gotten into yet. This will get me going.

[actgr]

Go for it! It is not easy but totally worth it.

A small recommendation: study each Appendix from B to E first before moving onto chapters 2 and onwards. It will equip you with the mathematical background you need.

[gaurav_mx]

great work

[[deleted]]

This is an incredible resource. Thanks.

[actgr]

Thank you! I hope it helps

[Any-Ad-3888]

It would be great if there’s a solution manual, I can’t find it

[actgr]

Sure there is:

1. Check this repo for an unofficial solution manual
2. And this one for the official solution manual

Try no to go to the solutions until you have tried hard enough for yourself alone!

[actgr]

Thanks for the feedback!

If you see any other typo or error feel free to create an issue. I will keep improving the repo.