Course Introduction

Introduction to the Principles and Practice of Amazon Machine Learning

Course completed!

Watch Preview
icon enterprise Created with Sketch.
Work for a company?
Try Cloud Academy for Teams!
Grow your team's cloud skill with the Enterprise Training program.

When we saw how incredibly popular our blog post on Amazon Machine Learning was, we asked data and code guru James Counts to create this fantastic in-depth introduction to the principles and practice of Amazon Machine Learning so we could completely satisfy the demand for ML guidance. If you've got a real-world need to apply predictive analysis to large data sources - for fraud detection or customer churn analysis, perhaps - then this course has everything you'll need to know to get you going.
James has got the subject completely covered:

  • What, exactly, Machine Learning can do
  • Why and when you should use it
  • Working with data sources
  • Manipulating data within Amazon Machine Learning to ensure a successful model
  • Working with Machine learning models
  • Generating accurate predictions

Do you have questions on this course? Contact our cloud experts in our community forum.

Transcripts are available as part of your Cloud Academy membership.

Sign-up for a 7-day free trial