abonamza t1_ixdlstd wrote on November 22, 2022 at 5:25 PM

Not quite what you're looking for, but take a look at Deep Learning Interviews by Shlomo Kashani. If you want the cut and dry of interview questions on basic theory for statistical and deep learning methods, then this book is a great resource. https://arxiv.org/pdf/2201.00650.pdf#:~:text=Deep%20Learning%20Interviews%20is%20home,organized%20overview%20of%20the%20field

Different_Fig4002 t1_ixdb4tv wrote on November 22, 2022 at 4:14 PM

Only thing that comes to mind is HackerRank's AI section. Might be outdated not sure but it was similar to what you are looking for I think. Might be more AI than ML.

MLFanatic1337 t1_ixd8tmy wrote on November 22, 2022 at 3:58 PM

For what type of problems would this be useful for? Leetcode style problems have deterministic conditions, why use ML to solve that class of problems?

abonamza t1_ixdk9ue wrote on November 22, 2022 at 5:15 PM

It's useful to approach these as toy problems. It's much easier to test and understand what's going on with a simple problem before applying to complex problems.

As an example, being able to model XOR with machine learning is a common intro exercise, since it shows the limitations of basic methods and the necessity for non-linear models. Obviously in real life you would just use XOR itself.

MLFanatic1337 t1_ixh50df wrote on November 23, 2022 at 12:15 PM

Thank you for the clarification.

CeleryCool24 t1_ixdi9lx wrote on November 22, 2022 at 5:02 PM

The Code page on kaggle has a lot of different stuff but you’ll have to look around

[D] Leetcode-like puzzles but for Machine Learning

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