Book Content
chapters • 25h24m total length
1. Getting Started with Machine Learning Using Amazon SageMaker
2. Building and Using your own Algorithm Container Image
3. Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker
4. Preparing, Processing, and Analyzing the Data
5. Effectively Managing Machine Learning Experiments
6. Automated Machine Learning in Amazon SageMaker
7. Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor
8. Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms
9. Managing Machine Learning Workflows and Deployments
