Hey @AstonJ I have written a few posts on the DY blog: Blog - DockYard

I also have some posts on Medium through Pragmatic Bookshelf: https://medium.com/@seanmor5

And some tips on my blog: https://seanmoriarity.com/

Finally, there may be something in the works through everybody’s favorite publisher coming out sometime soon

An nice, I was wondering when we’d be seeing more books on the topic! Can you share whether it’s going to be a book best read before/after Genetic Algorithms in Elixir?

Thanks also for the links to your blog posts, in terms of reading order, do you think it’s worth approaching something like this:

• What is Machine Learning Anyway? - DockYard
• Nx for Absolute Beginners - DockYard
• Up and Running Nx - DockYard
• https://seanmoriarity.com/2021/04/08/axon-deep-learning-in-elixir/
• Getting Started with Axon - DockYard
• Your book (Genetic Algorithms in Elixir (PragProg))
• https://medium.com/pragmatic-programmers/a-short-nx-quiz-3549c6bb826b

Thanks also for all your work on this aspect of Elixir - I have no doubt it’s going to play a big role in Elixir’s continued success

Industry standard advice for getting up to speed as quick as possible on ML is the free fastai course: https://course.fast.ai. I’ve heard it’s required for new OpenAI engineers. I found it to be very helpful in explaining most key concepts.

The Hugging Face transformers course is also a great follow-up: Introduction · Hugging Face. Given that Bumblebee allows you to use pre-trained Hugging Face models, it’s probably a particularly helpful follow-up to the fastai course.

Of course you’re stuck with using Python if you follow these tutorials but it’s probably the best way to start to get a conceptual understanding of all this stuff before using Nx/Axon/Bumblebee.