Battle of ML/DL framework on stand-alone vs. distributed platform

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Will steep improvement of algorithm + decrease on hardware cost (CPU, memory, disk) drag the distributed approach irrelevant?

IMHO, at this time, the winner is h2oai which gives an impressive performance in stand-alone mode and supports distributed platform (i.e., atop Spark using h2o sparkling water). I was so surprised that Standford’s statistics maestro, Tibshirani & Hasti, are the advisor. Their book is the best statistics book I ever read. 

Nice picture to calibrate which skill we should leave and engage as a data scientist.

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