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.
Introduction to Amazon SageMaker
Introduction to Amazon SageMaker Neo
Machine Learning Algorithms Explained
Automatic Model Tuning in Amazon SageMaker
Advanced Analytics with Amazon SageMaker
Anomaly Detection on AWS
Building Recommendation Systems with MXNet and GluOn