AWS re:Invent 2019: [NEW LAUNCH!] Introducing Amazon SageMaker Studio, full IDE for ML (AIM214-R1)

Machine learning (ML) is a complex, iterative, often time-consuming process. One difficult aspect is the lack of integration between the workflow steps and the tools to accomplish them. Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale. It pulls together the ML workflow steps in a unified, visual interface—since they’re performed and tracked within one environment, the non-linear and iterative nature of ML development is greatly simplified. You can quickly move between steps, compare results and adjust inputs and parameters, and iterate faster with Amazon SageMaker Studio.

[manjeetnagi]

built the case of studio very well in the first 9:18 mins. Impressive!

[shinochono]

Can you please share the github repo for the customer churn notebook.