Google AI Interview Questions – Acing the AI Interview
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Isn't gbm just trees? Been using it in spark for close to an year and never bothered to learn the difference. I just run both and choose the best algorithm.
I have been working on ML for close to two years and I can't answer most of these questions. Guess I am not cut out for Google
If you apply for a ML SWE role, these are unlikely to be the questions you get, though with a company as large as Google, who knows what your interviewer will bust out.
GBM is trees, and I think the question is to explain why you would want trees, but I think the trick for fitting arbitrary differentiable loss functions in a GBM is pretty nifty.
I was the technical recruiter for IBM and I always asked abstract technical questions rather than something that can be googled
How much many hours do you think it would it take to learn the required material to be able to get in with just a bachelors in CS?
What is the pay like? The reason I ask is because I am super interested in the field but sacrificing 1.25 million dollars worth of pay (5 years of lost google senior software engineer pay to get masters and PHD and that is not even counting the time value of money) in a risky career move should benefit with large compensation IMHO.