Guyz, I recently started my master's course with Machine learning, but feel very scared with the amount of mathematics one need to know when solving problems or proofs. Last proofs I did were 5 years ago. I can understand the baye's theorem and basic linear algebra but the discussion/proof suddenly move to very difficult topics or theorems. TAs and Profs think we know all these and hence dont spend too much time on it. Because of it, I feel completely lost in the courses, it's almost one month now and I feel I know nothing compared to other student and really doubt my decision to take Machine Learning.
I a ready to do whatever it takes, I am currently studying Linear Algebra and stats in my spare time but the things that I am required to know, the proofs I am supposed to derive are just way above the introductory stuff. Any recommendations on what should I do to get better on the mathematics front?
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