Data Brew Season 2 Episode 6: AutoML
Data Brew by Databricks
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Automomel vs Human Models?
There's a lot of room for both human and automomile approaches. Human in the loop can be more useful if you have a particular data set that you're working on. You don't really want o just create a hundred thousand models and put em into production without anybody checking to see what's going on there. The feature engineering is still an area where a lot of automomile tools either don't touch at all, or do very minimal things.
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