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Don't forget to review calculus as well. Khan Academy is a good start for learning about single variable calculus (http://www.khanacademy.org), but their content on multivariable calculus is a bit lacking (neural networks / deep learning use the concept of the derivatives and the gradient a lot). A good supplement for multivariable calculus would be Terence Parr and Jeremy Howard's article on "All the matrix calculus you need for deep learning": https://explained.ai/matrix-calculus/index.html


Thanks - I am doing that as well! I've been using MIT OpenCourseware for single variable calculus (and will do the same for multivariable). I fenced the parent post to Linear Algebra to not go too far away from the OP.

I will certainly check out the Terrence Parr / Jeremy Howard site, and am super familiar with Khan Academy.


I came across-Calculus Made Easy by Silvanus Thompson,on someones twitter feed. Published in 1910 and far less scary and far more interesting to read than a lot of math text books.

https://www.gutenberg.org/files/33283/33283-pdf.pdf


“Considering how many fools can calculate, it is surprising that it should be thought either a difficult or a tedious task for any other fool to learn how to master the same tricks.”

I really wish technical books were still written like this. Though if Thompson posted this on HN as a comment he probably would have been downvoted.


There is also a web goodlooking version, discussed previously in HN: https://news.ycombinator.com/item?id=18250034


Similarly, Stroud's "Engineering Mathematics" takes you right from addition all the way up to Fourier transforms... a fantatsic book.


This should be your first calculus book if you are learning from scratch. Much better than those 1000+ page behemoths colleges use.


I'm going to plug Calculus: Single Variable from the University of Pennsylvania on Coursera (https://www.coursera.org/learn/single-variable-calculus).

This was the best Calculus course I've taken online.


When you say you’re going through the MIT OCW calculus courses are you watching the videos or also doing practice problems?

What other calculus resources are you using?


Watching videos, reading the (indicated portions of) the text, doing practice problems, eventually exams - relying on the resources provided in the OCW site.

To be transparent - I just started the calculus class. I finished the UT Austin Linear Algebra class two weeks ago, and am 7 lectures + readings + 2 problem sets in on the MIT Linear Algebra class and 3 lectures in on the Calculus class.


I'm coming to the end of my first year (6 year part time) Comp Sci course and have seen that we have options for AI and Machine Learning modules in future years. Where should I go to find something like a list of what I should be brushing up on, or learning completely from scratch, in order to not fall flat on my face during those type of modules.

I understand there are very set starting points in math subjects because concepts build on one another but I don't know what I should be starting with and where to go afterwards.




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