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The text has some great explanatory diagrams and looks to be a very high quality overview of ML thru the lens of probability, with lots of math.

I was also recently impressed by Zhaos "Mathematical Foundation of Reinforcement Learning", free textbook and video lectures on YT : https://github.com/MathFoundationRL/Book-Mathematical-Founda...

If you dont have a lot of time, at least glance at Zhaos overview contents diagram, its a good conceptual map of the whole field, imo .. here :

https://github.com/MathFoundationRL/Book-Mathematical-Founda...

and maybe watch the intro video.



The first lecture is so good. Not only from perspective of content, but how Zhao explain things about how to think about learning as a student. ty for recommendation.




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