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AutoML 2.0: Control what you want, automate the rest
New low-code approaches to machine learning pioneered by Uber, Apple, and Meta Building ML solutions from scratch is a challenge: complex low-level code and long dev cycles make it hard to deploy a single model in less than 6 mos. On the other hand, existing commercial AutoML solutions lack flexibility and support for unstructured data,…
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