Book

Learn Amazon SageMaker

This book will teach you how to move quickly from business questions to machine learning models in production. Using real-world examples implemented with Python and Jupyter notebooks, you’ll learn about many the features and APIs of Amazon SageMaker on a wide spectrum of use cases: tabular data, computer vision, and natural language processing.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
16h20m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 16h20m total length

1. Getting Started with Amazon SageMaker
2. Handling Data Preparation Techniques
3. AutoML with Amazon SageMaker AutoPilot
4. Training Machine Learning Models
5. Training Computer Vision Models
6. Training Natural Language Processing Models
7. Extending Machine Learning Services Using Built-In Frameworks
8. Using Your Algorithms and Code
9. Scaling Your Training Jobs
10. Advanced Training Techniques
11. Deploying Machine Learning Models
12. Automating Machine Learning Workflows
13. Optimizing Prediction Cost and Performance

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