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Lynda - Learning Amazon SageMaker - 5019805
Lynda - Learning Amazon SageMaker
SageMaker is Amazon’s solution for developers who want to deploy predictive machine learning models into a production environment. Programming is done in Python and the results can easily be integrated into cloud-based applications. These lessons review the entire Amazon SageMaker workflow: analysis, build, and final deployment. Instructor Martin Kemka introduces the benefits of Amazon SageMaker and reviews its browser-based interface and toolset. In the second chapter, he shows how to import, investigate, visualize, and summarize your data. The next stage is to use a clean data sample to train a machine learning model to fulfill a basic task. Finally, Martin shows how the model is deployed. Almost every chapter concludes with a challenge that allows you to practice your new SageMaker skills.


Table of Contents

  • Introduction
  • 1. Introduction to SageMaker
  • 2. Analyze Data
  • 3. Build Models
  • 4. Deploy Models
  • Conclusion
  • Lynda - Learning Amazon SageMaker


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