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Implementing AutoML Techniques at Salesforce Scale
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| by Matthew Tovbin Follow 0 Followers on Oct 28, 2018 |
39:16

Summary
Matthew Tovbin shows how to build ML models using AutoML (Salesforce), including techniques for automatic data processing, feature generation, model selection, hyperparameter tuning and evaluation.

Bio

Matthew Tovbin is a Principal Member of Technical Staff at Salesforce, engineering Salesforce Einstein AI platform, which powers the world's smartest CRM. Before joining Salesforce, he acted as a Director of Engineering at Badgeville, implementing scalable and highly available real-time event processing services with Scala. In addition, Matthew is a co-organizer of Scala Bay meetup.

The 6th Annual Global Big Data Conference is extended to three days based on feedback from participants. The event will feature many of the Big Data thought leaders from the industry. Annual Global Big Data Conference is an event acclaimed for its highly interactive sessions.

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