Developing Machine Learning Applications
Offered By: Amazon via Independent
Course Description
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
- 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
Tags
Related Courses
Communicating Data Science ResultsUniversity of Washington via Coursera Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
University of Illinois at Urbana-Champaign via Coursera Cloud Computing Infrastructure
University System of Maryland via edX Google Cloud Platform for AWS Professionals
Google via Coursera Introduction to Apache Spark and AWS
University of London International Programmes via Coursera