I saw that you mentioned https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab as the pre requisite. I was planning to do this course on OCW https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/ to fill my gaps in linear algebra. If you are aware of this course would this fulfill the pre requisites?
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looks good. even more in-depth than you probably need to go. depending on your future deep learning plans, its always desirable to have a rich background in mathematics.
Yes, Strang’s Linear Algebra class would cover more than enough.
In general, I recommend learning math on an as-needed basis, so don’t feel like you have to make it through the entire pre-requisite studying (unless that’s what you want) before you can get started on Comp Lin Alg. You can study/watch linear algebra lectures to fill in gaps in your background as they come up.
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@rachel I get what you are saying. The reason I am considering doing that is because when I am doing some reading some Maths comes up. I could look that up if I knew what the relevant topic is from where to start.
It’s like 4 people talking about a TV show in French in front of me (I don’t know French) and then trying to understand what they were saying. I won’t know that is French so how do I start looking about that? Maybe not a good analogy but I hope you understand my point.
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Is there any interactive course of linear algebra?
Hi, According to the syllabus there is also mention of linear and robust regression, so is basic knowledge of probability and statistics needed? or just the linear algebra prerequisites mentioned in this section https://nbviewer.org/github/fastai/numerical-linear-algebra/blob/master/nbs/0.%20Course%20Logistics.ipynb#Linear-Algebra
Can you mention some probability and statistics references that would be most compatible with the material used in the course.
Thanks