I wouldn't put too much weight into this. Not only is much of this content dated, but Chip is far from a subject matter expert. She loves to write (and is a greater writer), but don't expect anything beyond a cursory introduction.
I did a cursory browse through on few sections of this current book (namely the CV module), and I think the questions are on the easier end for actual ML interviews/whiteboarding. Normally, I would face some more depth (and equivalently as a tech lead, similarly ask more than surface-level questions to potential hires).
tldr: If you have gone through an introductory ML course like Andrew Ng's CS229 or CS230, these question banks seem obvious & trivial to solve.
I think a question on a lot of people's lips is "if we put the effort in to retrain and use this guide, how much can I expect to earn?" All well and good saying this is what employers want in an interview, but we have to talk remuneration too :)
throwawayML2 ·42 days ago
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srvmshr ·42 days ago
https://arxiv.org/abs/2201.00650
I did a cursory browse through on few sections of this current book (namely the CV module), and I think the questions are on the easier end for actual ML interviews/whiteboarding. Normally, I would face some more depth (and equivalently as a tech lead, similarly ask more than surface-level questions to potential hires).
tldr: If you have gone through an introductory ML course like Andrew Ng's CS229 or CS230, these question banks seem obvious & trivial to solve.
SillyUsername ·42 days ago
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·42 days ago