Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. In this session, we show you how to quickly create new notebooks, upload data, train models, compare model results, and deploy models to production all within Amazon SageMaker Studio, making you more productive. In addition, learn how to use Amazon SageMaker Studio Lab, a no-setup, free development environment that allows developers, academics, and data scientists to learn and experiment with machine learning.
Speaker: Vatsal Shah, Senior Solutions Architect, AWS
