• Online, Self-Paced

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

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):