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Ask HN: What topics should I be comfortable in to do serious AI/ML research?
I am talking about grad school or industry R&D lab level research in AI/ML.
Apart from being a good programmer, what other fundamental topics should one be well versed in to become a good researcher in this domain?
I am in undergrad and I would love to apply to grad school after I finish. What topics should I study and from where? Books, courses, anything? I want to prepare ahead.
- optbuild 4y agoI see many people dive into ML research by tinkering along the way. Although I have no objection to particular tastes, two courses that made modern ML easy for me were: 1. Linear Dynamical Systems by Stephen Boyd [https://ee263.stanford.edu/archive/ https://ee263.stanford.edu/archive/] 2. Convex Optimisation by Stephen Boyd. [https://see.stanford.edu/Course/EE364A https://see.stanford.edu/Course/EE364A] Both lecture series and course notes are availabe from the official page of the instructor.