[TuringNYC]

From the article "There’s a very limited number of people that can create advanced machine learning models." -- Curious if this is really the case? It is certainly the case with my generation of engineers but half the student interns I interview from top-20 comp sci programs do this on weekends for hackathons.

Is the argument that it is easy to implement stock models but hard to tune the models for specific types of image inputs? Inst that pretty easily solved with some parameter grid searches? How much specialized skill does it take to re-do networks from traditional inception architecture or what not into something specific for hot-dogs or satellite imagery or medical images?

[nl]

(I build machine learning models professionally)

* half the student interns I interview from top-20 comp sci programs do this on weekends for hackathons*

It's trivially easy to take what someone else has built and modify it slightly for a similar problem, especially in a hackerthon environment where you can ignore edge cases etc.

See if they can build a new model from scratch for a new type of problem. I'm not saying that AutoML can do this either, but I interview large numbers of PhDs who don't know where to start on doing something new.