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Intro to AWS SageMaker for Predictive ML/AI

Intro to AWS SageMaker for Predictive ML/AI
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Intro to AWS SageMaker for Predictive ML/AI

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EPISODES

Summary and Setup

1. Overview of Amazon SageMaker

2. Data Storage: Setting up S3

3. Notebooks as Controllers

4. Accessing and Managing Data in S3 with SageMaker Notebooks

5. Using a GitHub Personal Access Token (PAT) to Push/Pull from a SageMaker Notebook

6. Training Models in SageMaker: Intro

7. Training Models in SageMaker: PyTorch Example

8. Hyperparameter Tuning in SageMaker: Neural Network Example

9. Resource Management and Monitoring

Key Points
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Learner Profiles
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Last updated on 2023-03-16 | Edit this page

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