Deploying Machine Learning Models (is still terrible)

Designing, building, and training models are hard problems. Literature is reviewed, data is gathered (and cleaned and annotated). Hours (or perhaps days? weeks?) are spent getting code to work, fixing subtle bugs, tuning training schemes. Finally, the met… Read more

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