Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter

1 Jun 2019Frances Ann HubisWentao WuCe Zhang

Simplifying machine learning (ML) application development, including distributed computation, programming interface, resource management, model selection, etc, has attracted intensive interests recently. These research efforts have significantly improved the efficiency and the degree of automation of developing ML models... (read more)

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