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Well, I have bachelors degree in Computer Science and am fairly well versed with using the popular ML tools and libraries like Pytorch and Scikit. I have been
by yangikan 5y ago
Well, I have bachelors degree in Computer Science and am fairly well versed with using the popular ML tools and libraries like Pytorch and Scikit. I have been using them professionally as part of my job. I can implement a VAE easily in Pytorch, but find the math hard to understand. My linear algebra is probably okay, but the math involving probability and calculus is the problem. I never learnt those topics properly. I am probably looking for a remedial math class that is specifically catered towards understanding machine learning theory or some other online math courses that assumes no more math background than from high school. Thanks for the offer to help.
- glial 5y agoFor calculus, I like this book [1] for self-study. Also the Schaum's Outlines are great no-nonsense introductions. They're both gentle introductions, while still being useful. For probability, I really like Morin's book [2]. It starts really basic (like, super basic), but builds up a coherent understanding of lots of useful distributions, where their density functions come from. [1] https://press.princeton.edu/books/paperback/9780691130880/the-calculus-lifesaver https://press.princeton.edu/books/paperback/9780691130880/th... [2] https://scholar.harvard.edu/david-morin/probability https://scholar.harvard.edu/david-morin/probability