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Build accurate models combining diverse data types with AutoGluon on Amazon SageMaker (Level 300)

Real-world machine learning use-cases often involve data in many forms. In this session, we cover the overview of Amazon SageMaker JumpStart which automatically trains and tunes hundreds of ML models and helps you pick the best model for your use case. We demonstrate how to use AutoGluon, an open-source library for AutoML on Amazon SageMaker to build your high-quality model. We also share proven techniques, best practices and tools for diving deeper with custom multi-modal ML. Download slides »
Speaker: Seema Gupta, Senior Solutions Architect, AWS
Duration: 30mins