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Machine Learning on Great Lakes
March 17 @ 2:00 pm - 4:00 pm
This workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example problem to load a project and submit a job to the HPC cluster. Participants are expected to be familiar with Python, the command line, and basic Great Lakes functionality (logging in and navigating the directory structure). Participants must create a user account on Great Lakes prior to the workshop and are required to pre-register to gain access to a training account.
Machine Learning Specialist
Information and Technology Services – Advanced Research Computing
Meghan Dailey is a machine learning specialist in the Advanced Research Computing (ARC) department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies, specializing in natural language processing and convolutional neural networks. Before her position at the university, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts.
A Zoom link will be provided to the participants the day before the class. Registration is required.
Instructor will be available at the Zoom link, to be provided, from 1:00-2:00 PM for computer setup assistance.
Please note, this session will be recorded.
To register and view more details, please refer to the linked TTC page.
If you have questions about this workshop, please send an email to the instructor at firstname.lastname@example.org