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Originally Posted by samihaq
Does convex optimization play a vital role in machine learning ?? Is it worth and absolutely necessary to learn it inside out in great detail to get mastery in machine learning?
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Optimization is a utility in machine learning, where you need to know enough to be able to use it properly. If you are new to the subject, no need to know it "inside out," but that can't hurt either. On the research front, some topics that have strong optimization content such as submodular functions and deep learning are currently active.