So if you are interviewing for a ML Engineer role, there could be 2 types coding interviews. One is the Software Engineering fundamentals and the second one I faced mostly was statistics related (mostly probabilities). So LeetCode and Hackerrank seem to have good practices for the software engineering ones. Where do you get practice for coding on a Stats problems? Note: here I am not talking about the regular ML exercises with a Data set and business problem to solve.
I'm currently in the process of interviewing for MLE roles. For ML knowledge: Intro/ESL, Deep Learning Book, 229, 231n, the usual. Do the coding exercises. DM me :)
I am also preparing. Can somebody share insight?
Trying to break into ML. Would love some insight too.
I am also interviewing for MLE. I am game for a having a call sometime and discuss questions and experiences.
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We both to practice together . Dm me