AWS

Course Introduction

Introduction to the Principles and Practice of Amazon Machine Learning

Advanced
Course completed!
Check

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.
1/18
2h11m
767

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