Ask HN: I want to teach myself Machine Learning. Where should I start?
I want to learn to create, experiment with, modify, design, train, etc-- neural networks and machine learning models, but I don't know where to start. Rather than just blindly trusting Google search, I thought I'd ask HN since many of you do this stuff for a living!
Machine learning is so, so exciting to me, and and the possibilities with it seem endless. What resources would you recommend I dive into to teach myself about it?
I'm being vague here because I know there's a lot of different branches in the field and I'm still not sure which ones I'm most interested in.
That said, image/audio/text manipulation or synthesis and simulation are of particular interest to me (I'm a big fan of Two Minute Papers)
If you took the time to read this, thank you! HN has changed my life and introduced me to so many new ideas and resources already :)
Looking forward to any and all responses.
EDIT: Realized it might be worth it to mention that the current extent of my knowledge on the topics is limited to "grab a big dataset, create a model, refine the model through some kind of regression, then test with unfamiliar data." I also understand that there's a tooonnn more than just that available (i.e. GANs/synthesis etc).