Reading lots of ML papers may make you an expert in writing ML papers, but it won’t make you an expert in implementing and applying ML to real world problems. The skills are related and somewhat complementary, but not at all equivalent.
— Denny Britz (@dennybritz) January 11, 2019
I can’t count how many ML engineers and “researchers” I’ve come across who cannot clearly state the hypothesis they are coding, assumptions behind it, and how they are willing to test it, how will they setup a sequence of experiments to learn/debug models and build iteratively.
— Delip Rao (@deliprao) January 11, 2019
