Amazon SageMaker Studio: The First Fully Integrated Development Environment For Machine Learning

By Amazon Web Services - 2019-12-03

Description

Today, we’re extremely happy to launch Amazon SageMaker Studio, the first fully integrated development environment (IDE) for machine learning (ML). We have come a long way since we launched Amazon Sag ...

Summary

We have come a long way since we launched Amazon SageMaker in 2017, and it is shown in the growing number of customers using the service.
Over time, it becomes much harder to track the best performing models, and to capitalize on lessons learned during the course of experimentation.
In addition, since all these steps of the ML workflow are tracked within the environment, developers can quickly move back and forth between steps, and also clone, tweak, and replay them.
With Amazon SageMaker Notebooks (currently in preview), you can enjoy an enhanced notebook experience that lets you easily create and share Jupyter notebooks.

Topics

Backend (0.23)
Machine_Learning (0.11)
Database (0.09)

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