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hey neel8986, I know linear algebra is very important for large scale calculations. But how much calculus and statistics do you need for ML? Also, if you can touch what applications of calculus and statistics are used in ML that would be awesome :]. THANKS!

Regarding calculus, I think basic multivariable calculus can be enough for starting. If you need a refresher you can look for (https://ocw.mit.edu/courses/mathematics/18-02sc-multivariabl...)

Also the basic idea of chain rule is important for deep learning.

Regarding statistics, I already mentioned the probability course which describes most of the important statistics concept you need. Also, some idea of Hypothesis testing can be helpful

right on thanks neel8986.

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