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MATLAB ML/Stat and DL Workshop 2023

The Division of Information Technology (DIT) at the University of Maryland is pleased to announce the following workshop for members of the University community.

There are only a limited number of seats available. Registration will remain open until 23 July 2023 or until all seats are filled. Although there is no charge associated with the workshop, we do require registration and we ask that you do not register unless you really intend to attend. Also, if you register and later discover you will not be able to attend, please contact us to cancel your registration as soon as possible so that we can invite someone from the wait list.

NOTE: DIT reserves the right to cancel the workshop for any reason with little notice.

MATLAB ML/Stat and DL Workshop
LocationBrendan Iribe Center, Room 1116
Date25 July 2023
9:00 AM - 12:00 PMMATLAB Machine-Learning/Statistics Toolbox
1:30 PM - 5:00 PMMATLAB Deep-Learning Toolbox
InstructorEvan Cosgrove
Education Application Engineer, The MathWorks Inc.
Costfree, registration required
Registration Formlink to registration form
23 July 2023
or when registration is full

Register Here

During this hands-on, self-paced workshop, a MathWorks engineer will introduce the Machine-Learning/Statistics and Deep-Learning Toolboxes in MATLAB. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of capabilities of these MATLAB Toolboxes.

The workshop is open to all members of the UMD community interested in developing and performing ML and/or DL tasks using powerful tools.


Some basic familiarity with MATLAB is assumed. If you are not familiar with MATLAB or want a refresher, you might wish to take the free self-paced MATLAB Onramp course from MathWorks (about 2 hours).

System Requirements

This is a bring-your-own-laptop style event. Before attending You will want to have a recent version of MATLAB, including the ML/Statistics and DL Toolboxes, installed on your laptop. This is available at no charge to members of the University of Maryland community on Terpware via the campus Total Academic Headcount license.


In case Terpware encounters issues, you may download a recent MATLAB version (ideally R 2022b) from the UMD MATLAB portal as hosted by MathWorks.

The difference between Mahine Learning and Deep Learning is briefly explained in this YouTube video.

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