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  4. Build Machine Learning Models with MATLAB and Simulink

Build Machine Learning Models with MATLAB and Simulink

Build and refine machine learning models efficiently using MATLAB and Simulink for diverse applications and real-world challenges.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Explore machine learning workflows in MATLAB and Simulink.
  • Develop predictive models using MATLAB's built-in machine learning tools.
  • Optimize model performance using hyperparameter tuning techniques.
  • Simulate machine learning integration into systems with Simulink.
  • Deploy trained machine learning models to embedded systems.

    • 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):

    Feedback

    If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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