Deep Learning Interviews (2021)
arxiv.org
arxiv.org
I find her book to be more practical and humble, though perhaps less feature-complete than the book from this post.
IMO Kashani and Ivry’s writing feels a little uppity and needlessly offputting — for example, logistic regression is lumped under Kindergarten in the table of contents. Sure it’s fundamental, but implying it’s not useful anymore in our age of deep learning (listed under “Bachelor’s,” of course) is a little myopic/insulting, no? Students who feel pandered to by know-it-alls probably learn worse than students whose skills are being collaboratively built up by enthusiastic mentors.
This feeling was particularly loud from the foreward, ToC, and intro; maybe it gets better after…?
That helps put words to a feeling I've had for quite a while now about certain types of educators. I couldn't put words to it but this makes sense in retrospect. Its almost like they're saying "look what I can do! I'm a mathemagician!" vs putting the students learning first.
Honestly it will be a miracle if an indie game dev like me gets the job of a machine learning research scientist. Can't say they asked the wrong questions.
FWIW some types of game devs are actually versatile people for ML engineering. They can write low level code; they can manipulate bitmaps; they have keen-enough eyes to tell you something is wrong with your image dataset. I don't think game devs are a bad choice.