AutoML Toolkit – Deep Dive

Tired of doing the same ole feature engineering tasks or tuning your models over and over? Come watch how Databricks Labs is solving this. We will explore how this toolkit automates and accelerates: Feature Engineering/Culling Feature Importances Selection Model Selection & Tuning Model Serving/Deployment Model Documentation (MLflow) Inference & Scoring


 
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About Daniel Tomes

Databricks

Daniel Tomes leads the Resident Solutions Architect Practice at Databricks and is responsible for vertical integration, productization and strategic client growth. His big data journey began in 2014 at a major oil and gas company after which he moved to Cloudera for two years as a Solutions Architect and in 2017 join Databricks.