Building & deploying ML/AI requires complex, carefully coordinated workflow - data needs to be ingested, cleaned, labeled; appropriate properties, upon which prediction is based must be determined; devs then train models and validate, serve, and continuously optimize them

Building & deploying ML/AI requires complex, carefully coordinated workflow - data needs to be ingested, cleaned, labeled; appropriate properties, upon which prediction is based must be determined; devs then train models and validate, serve, and continuously optimize them

— Nikhil Kulkarni (@kulkarninikhil) November 29, 2017

November 29, 2017 at 09:19AM
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