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https://www.reddit.com/r/MachineLearning/comments/afy3fk/n_the_hundredpage_machine_learning_book_is_now/?utm_source=amp&utm_medium=&utm_content=comments_view_al

https://www.reddit.com/r/MachineLearning/comments/afy3fk/n_the_hundredpage_machine_learning_book_is_now/?utm_source=amp&utm_medium=&utm_content=comments_view_all https://www.reddit.com/r/MachineLearning/comments/afy3fk/n_t... There's some other ones out there...maybe by Hochreiter or one of the giants out there? I'd take a look at it, it's a free PDF that's absolutely massive and all you need to know for much of the basics and a few other deep areas of deep learning. Or even better... Just pick a project you like and start doing. It's like art, you'll learn nothing by studying alone, and everything by getting a feel for it and being all excited about it and whatnot there. ;))) :))))

sillysaurusx 6y ago
"The trick is to read the book first and then decide whether it's amazeballs enough to pay the price." Goddamn, it's refreshing to hear this from the author of the book itself. An acknowledgement that book piracy exists, and that it's not so bad.
- moehm 6y ago
  I think they mean it's free to read here: http://themlbook.com/wiki/doku.php http://themlbook.com/wiki/doku.php (which is amazing)
prionassembly 6y ago
Learning anything involves a lot of experimentation, but in art the feel you get is very close to what you're actually doing, while in math and engineering the "feel" is something you learn to interpret with experience applying a theoretical point of view to numerous problems. Even low-grade data science where cobbling together some grid-searched scikit-learn stuff suffices is more like fixing a damaged combustion engine than riding a bike.