Build Quality ML Models Quickly & Easily with Amazon SageMaker Autopilot (Level 200)

June 9, 2021

Building machine learning (ML) models has traditionally required a binary choice. On one hand, you could manually prepare the features, select the algorithm, and optimize the model parameters in order to have full control over the model design. However, this approach requires deep ML expertise. On the other hand, if you don’t have that expertise, you could use an automated approach (AutoML) to model generation that takes care of all of the heavy lifting, but provides very little visibility into how the model was created. While a model created with AutoML can work well, you may have less trust in it because you can’t understand what went into it, you can’t recreate it, and you can’t learn best practices which may help you in the future. In this session I am going to show you how SageMaker Autopilot eliminates this choice, allowing you to automatically build machine learning models without compromises, explore different solutions to find the best model, and then directly deploy the model to production with just one click.

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Automate Code Reviews, Performance Recommendations and Operational Insights  (Level 300)
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Deploy State of the Art ML Models and Solutions in a Single Click (Level 200)
Deploy State of the Art ML Models and Solutions in a Single Click (Level 200)