I’m hoping to have some comprehensive advice out on this Soon(TM), but my sense is that if you’re familiar with multivariable calculus/linear algebra/probability then it’s a few months’ full-time-work-equivalent to skill up in ML to the point where it’s no longer the constraining factor in being hired as an ML engineer.
If you’re not familiar with multivar calc/linear algebra/probability then it’s a bit of a longer path and a harder one to predict, since I think ease-with-maths varies more widely than ease-with-ML.
I’m hoping to have some comprehensive advice out on this Soon(TM), but my sense is that if you’re familiar with multivariable calculus/linear algebra/probability then it’s a few months’ full-time-work-equivalent to skill up in ML to the point where it’s no longer the constraining factor in being hired as an ML engineer.
If you’re not familiar with multivar calc/linear algebra/probability then it’s a bit of a longer path and a harder one to predict, since I think ease-with-maths varies more widely than ease-with-ML.
Thank you
P.S
I asked a few friends about this and one of them decided to apply himself, so anyway I think this is turning out well. :)