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Developing Machine Learning Applications

Amazon and Amazon Web Services via Independent

Overview

In this curriculum, we’ll explore Amazon’s fully managed ML platform, Amazon SageMaker. Specifically, we’ll discuss how to train and tune models, how certain algorithms are built in, how you can bring your own algorithm, and how to build for particular use cases like recommender systems or anomaly detection.

 

 

Syllabus

  1. Introduction to Amazon SageMaker
  2. Introduction to Amazon SageMaker Neo
  3. Machine Learning Algorithms Explained
  4. Automatic Model Tuning in Amazon SageMaker
  5. Advanced Analytics with Amazon SageMaker
  6. Anomaly Detection on AWS
  7. Building Recommendation Systems with MXNet and GluOn

 

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