/sci/ - Science & Math

Awesome chart, follow it and you'll be a math god soon enough.

>>14589139
go on MIT OCW
look at the math classes
check the classes prerequisites
download the textbooks from b-ok.org

Then the hard part.
Actually reading the books.
I've been on /sci/ for about a decade, and people love the idea of learning a lot. They love collecting textbook pdfs.
They hate doing the work

>>14589139
>I found this to self study but before I begin I want to know if it's just a meme chart and you have better suggestions.
Try a non-meme list.

>>14589139
here i an actually good one

>>14589604
and another one

I'll never be defeated.. there is no competition here

>>14589542
This. Make sure you don't just read them but work through most of the exercises too. You'll never learn math without exercises.

Does anyone ever post a good list?

>>14589139
Mathematics beyond calculus and linear algebra tends to be pretty useless for any substantial progress in AI/ML.

>>14590121
>Mathematics beyond calculus and linear algebra
Is it good for anything?

>>14589139
>ML/AI
only the calculus books in your chart would be worth it, if at all. ignore the other charts.
MIT OCW is a good suggestion, but look at the prerequisites not of the math classes but of the graduate classes in: inference, machine learning, artificial intelligence. See http://catalog.mit.edu/subjects/6/
These should generally be calculus, linear algebra, and probability.
And then find those on OCW. I also found this one helpful: https://ocw.mit.edu/courses/18-05-introduction-to-probability-and-statistics-spring-2014/
Doing exercises is a good suggestion, but don't be autistic about it. I recommend doing a random 1/3 of them (but understanding them fully), and then when you're 2 "chapters" or the equivalent ahead, go back and do another random 1/3 (and make sure it's easier or obvious, otherwise do all of them).