Amazon SageMaker Usage

SageMaker AWS is interested in partnering with our student teams. They are interested in:

  • Feedback on their platform especially studio & debug
  • Contributions to SageMaker Studio Notebooks (see GitHub links below).

Cloud credits and showcasing will be provided by SageMaker if student teams can deliver on these 2 items. Analysis to be done with the help of ML student leads.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker* removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

Recommendation from industry mentor:

Drop SageMaker for June 1st session. Requires a fair amount of training, we don’t have adequate time.

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