[sjg007]

I think it would be extremely helpful to map the math into code. Nobody has done this as far as I've seen. I mean you can find Github repositories for some papers but really a set of explicit tutorials from the math to the code would be really helpful.

To say something is "machine learning", I think means that you should show the code not just equations and derivations.

I mean if you only show math and derivations, what's the point? To show off what you know? How is that helpful?

[joshvm]

This exists actually, it's not complete yet (I think?) but it covers a lot of the material in the book:

https://github.com/probml/pyprobml