The book is actually what spawned the idea for Nx. Unless it was updated for a second edition (which I’m unaware of), I don’t think it has Nx code.

I’d be more than happy to help with translating things to Nx, though. I probably won’t have enough time to actually participate in the book club, but I can help with code

I am glad to see so many people enjoying the book

If you end up with questions or find errata you can let me know. I don’t have a ton of time but I can try to help. If you enjoy the book, please leave a review on Amazon. It really helps!

Finally, in a little bit I hope to be able to share something for the next Machine Learning focused book club

Now that you folks bring it, I remembered a question I asked myself when I last picked this book.

How much of this book will change due to the arrival of the Nx mix of tools? Beyond just converting all Enum into Nx?

This might as well be a silly question as I don’t have much exposure to ML, but in general I see Python folks bring Numpy/Pandas the moment they smell a puff of data. Does interfacing with any C++ backend for genetic algorithm via Nx feel like a feasible direction to aim at?

Again, I might be asking this entirely prematurely, some stuff can perfectly be done through standard lib.