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MATLAB Session 1 : Introduction to AI

MATLAB Session 1 : Introduction to AI In-Person

Are you new to machine learning and deep learning? Do you want to learn how to apply these techniques in your work?

In this hands-on introductory seminar, you will learn how to apply machine learning and deep learning to images and signals. You’ll see how MATLAB® provides an environment to apply advanced techniques without requiring coding or experience in machine learning and deep learning. You will also:

  • Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “feature selection”

  • Build and evaluate machine learning models based on images and signals

  • Learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “hyperparameter tuning”

  • Build and evaluate deep neural networks for images and signals

  • Understand the difference between both techniques and their use cases.

Seats are limited, please make sure to register using this form: https://forms.office.com/Pages/ResponsePage.aspx?id=ETrdmUhDaESb3eUHKx3B5tTIy0i-nn1KjKWuEYZzK09UOUdNUTRHOEFFVjgxUUQ5TFBZQzFUOEE1NC4u

Date:
Wednesday, May 15, 2024
Time:
10:00am - 12:00pm
Time Zone:
Mountain Time - US & Canada (change)
Location:
Library Classroom, 30 desktop PCs (Coe 216)
Campus:
W. R. Coe Library
Audience:
  Faculty     Graduate Students     Undergraduate Students  
Categories:
  ARCC + DSC     Digital Scholarship Center     Workshop  

Event Organizer

Katharine Teykl

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