MATLAB Machine Learning/Statistics and Deep-Learning
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 25 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.
Warning
Registration is currently closed. We are hoping to repeat this workshop in the future, please join us then.
Note
NOTE: DIT reserves the right to cancel the workshop for any reason with little notice.
| Deep Learning Fundamentals using MATLAB | |
|---|---|
| Location | Brendan Iribe Center, Room 1116 |
| Date | 25 July 2023 |
| Time |
|
| Instructor | Evan Cosgrove Education Application Engineer, The MathWorks Inc. |
| Cost | free, registration required |
| Registration Form | link to registration form |
| Application Deadline | 25 July 2023 or when registration is full |
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.
Prerequisites
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.
It is not required to have MATLAB installed on your laptop since we will use
MATLAB Online
for this workshop; use your UMD credentials to sign in.
If you want to have MATLAB, including the ML/Statistics and DL Toolboxes, installed on your laptop, you may download it at no charge from Terpware.
Resources
In case Terpware encounters issues, you may download a recent MATLAB version (e.g. R 2024b or R2025a) from the UMD MATLAB portal as hosted by MathWorks.
The difference between Machine Learning and Deep Learning is briefly explained in this YouTube video.