• Online, Self-Paced
Course Description

Machine learning (ML) can help you solve business problems in ways that weren't possible before—but you've got to think big. Listen in as some of Amazon's own Machine Learning Scientists discuss how to make the most of ML. We'll cover ML terminology, business problems, use cases, and examples. By the end of this course, you'll have a better understanding of how to think about machine learning  business challenges and decisions.

Learning Objectives

Machine learning (ML) can help you solve business problems in ways that weren't possible before—but you've got to think big. Listen in as some of Amazon's own Machine Learning Scientists discuss how to make the most of ML. We'll cover ML terminology, business problems, use cases, and examples. By the end of this course, you'll have a better understanding of how to think about machine learning  business challenges and decisions.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.