SageMaker Fridays Season 3, Episode 7 — Building models automatically with AutoML

In this episode, we’ll dive into SageMaker AutoPilot, an AutoML capability. Starting from a tabular dataset, we’ll launch an AutoML job in just a few clicks (or just a few lines of code).

Then, we’ll explore in detail the different steps in AutoPilot, such as automatic feature engineering and model tuning. We’ll show you the auto-generated notebooks, and how you can run them yourself for further optimization.

Finally, we look at AutoGluon, an open source library for AutoML.

sagemaker_fridays · master · Julien Simon / amazon-studio-demos

Amazon SageMaker Autopilot - Automatically Create High-Quality Machine Learning Models With Full…

Machine learning with AutoGluon, an open source AutoML library | Amazon Web Services

AutoGluon: AutoML for Text, Image, and Tabular Data - AutoGluon Documentation 0.2.0 documentation

awslabs/autogluon

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data