Put Your Machine Learning on Autopilot

Automated Machine Learning (AutoML) is revolutionizing the way we build and deploy machine learning models. Discover how to streamline your machine learning workflow and accelerate results with AutoML.

A typical machine learning workflow involves several time-consuming steps: data analysis, feature engineering, model training, and model tuning. What if your machine learning platform could automate these tasks?

This session explores Automated Machine Learning (AutoML), focusing on how cutting-edge advancements enable you to automate your machine learning model creation while retaining complete visibility and control. Learn how to put your machine learning models into "autopilot" mode.

We'll delve into the power of AutoML and demonstrate its capabilities using Amazon SageMaker Autopilot, a fully managed AutoML service offered by AWS. See how easily you can generate high-quality model candidates, ready for review and deployment.

Key takeaways include:

• Understanding the core concepts of AutoML.
• Exploring the benefits of automating data analysis, feature engineering, model training, and model tuning.
• Learning how to maintain visibility and control throughout the automated process.
• A live demonstration of Amazon SageMaker Autopilot for practical application.
• Discovering how AutoML can accelerate your machine learning projects.