Re:Cloud AutoML: Making AI accessible to every business
by nl on Wednesday January 17, 2018 @05:23PM
(#16172592)
(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.
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?