Learning Amazon SageMaker

Learn how to use Amazon SageMaker to analyze data sets and train and deploy predictive machine learning models.

Introduction

• Machine learning with Amazon SageMaker
• What you should know

1. Introduction to SageMaker

• What is Amazon SageMaker?
• How does Amazon SageMaker work?
• Benefits of Amazon SageMaker
• Interacting with Amazon SageMaker

2. Analyze Data

• Data analysis tools
• Download and import data
• Investigate data
• Data visualization: Categories
• Data visualization: Numerical
• Data summary tools
• Challenge: Describe a dataset
• Solution: Describe a dataset

3. Build Models

• Cleaning up the data
• Preparing the model training set
• Model training
• Checking model training results
• Challenge: Train a basic model
• Solution: Train a basic model

4. Deploy Models

• Deploy trained model
• Test deployed model for single record
• Test deployed model for multiple records
• Challenge: Transfer model to server
• Solution: Transfer model to server
• Review the model for accuracy

Conclusion

• Next steps