Location: Brendan Iribe Center, Room 1116
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 a bit rusty, 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 via the campus Total Academic Headcount license.