[AndyGoode]

https://totaldatascience.com/free-machine-learning-books/

P.S.--The links are erroneously swapped for the two books 'Machine Learning Yearning' and 'Mining of Massive Datasets'.

[LOCKSUIT]

This book I found recently looks amazing. So lengthy, elaborate, I'm scared actually, I'm sure it's simpler than this folks....

http://www.cs.cmu.edu/~bziebart/publications/thesis-bziebart.pdf

But what IS simple? How many letters are we trying to push something to be? 4!?

And my favorite dude - Ben. He preaches that AGI like a rapper:


I once found a site of ALL so far written GAN Papers, like 2 years ago...a few hundred. And they all the same thing I bet! I really should read them, there's thousands now on AI......hmm....

This probably better:
https://towardsdatascience.com/must-read-papers-on-gans-b665bbae3317

But no what's even better? Following OpenAI and DeepMind. We must understand their Top Papers! There's fewer and they read and made em. They lead up to GPT-2, GAN, etc, combing things until they got things farther understood.

Oops I said no instead of know, hmm, it sounded similar....brain breakage.. . . . ..    .

[yotamarker]

I liked the papaya explanation