ABOUT

A typical machine learning workflow consists of many steps including data analysis, feature engineering, model training and model tuning. What if our machine learning platform could perform these tasks for us and generate high-quality model candidates ready for review and deployment? In this session, I will discuss the concept of Automated Machine Learning (AutoML) and how the latest advances in AutoML allow you to put your machine learning models into autopilot mode while maintaining full visibility and control. I will demonstrate AutoML using Amazon SageMaker Autopilot, a fully managed AutoML service offered by AWS.