Thanks for doing this AMA, otherwise I probably wouldn't have found out about your book. I was thrown head first into ML for a class, and needed to teach myself enough to code a GAN within a semester. Hopefully your book can teach me some fundamentals better than slogging through textbooks above my knowledge level, or trying to speedrun online courses meant to span months.
All this inspired me to pursue a math minor, because I found the math behind ML really fascinating. I'm kind of stressing over having a career in ML, though. On that note, my questions:
What do you consider the most valuable asset for a ML career? (Graduate degree, paper, side projects, experience, etc.)
For a job in ML/ Data Science, what knowledge separates a great candidate from an average one?
In a similar vein, what the first question you would ask in an interview to judge if someone knew their stuff?
Kershocker8 karma
Hey Mr. Burkov,
Thanks for doing this AMA, otherwise I probably wouldn't have found out about your book. I was thrown head first into ML for a class, and needed to teach myself enough to code a GAN within a semester. Hopefully your book can teach me some fundamentals better than slogging through textbooks above my knowledge level, or trying to speedrun online courses meant to span months.
All this inspired me to pursue a math minor, because I found the math behind ML really fascinating. I'm kind of stressing over having a career in ML, though. On that note, my questions:
What do you consider the most valuable asset for a ML career? (Graduate degree, paper, side projects, experience, etc.)
For a job in ML/ Data Science, what knowledge separates a great candidate from an average one?
In a similar vein, what the first question you would ask in an interview to judge if someone knew their stuff?
View HistoryShare Link