online & regional CourseConceptual Overview of Machine Learning

Understand machine learning algorithms and apply them to security problems.

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Course Details
Course Level
micro
Course Length
2-4 Hrs
Minimum Class Size
10 Students / Base
Course Platform
online & regional
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Course Overview

Machine Learning (ML) is rapidly becoming one of the most valuable tools in a cyber warrior’s toolkit. However, it can be difficult to start in ML or apply it to security problems.  This workshop offers a math-free overview of machine learning algorithms as well as their application to security problems.  Additionally we will present several use cases of machine learning as applied to security problems.

Man Looking at course on screen

By the end of this module, you’ll be able to:

Understand the difference between supervised and unsupervised learning
Understand the different problem types that are well suited to machine learning
Have a conceptual understanding of several machine learning algorithms including K-NN, Random Forests and DBSCAN
Understand the overall process for building and deploying a machine learning model

The Fine Print

Course Size Requirements

The Base level includes 10 students. Level up to unlimited students for $1,000 more. Head count must be locked in at the time of contract.

US Travel / Incidental Cost

  • Virtual courses do not incur travel/incidental costs.

Course Format

  • GTK typically uses Google Meets for virtual courses, but can use any service with advanced notice.

[The GTK Cyber course] was well organized and flowed nicely, all of the topics were relevant.

Former Student

I found it informative and interesting.

Former Student

The Jupyter notebooks and answers were a big help.

Former Student

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