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Advanced ML topics: Algorithms, writing ML code, comparing implementations
May 7 @ 10:00 am - 12:00 pm
This workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning, such as GPU optimization, parallel processing, and deep learning. A basic understanding of Python is required.
Machine Learning Specialist
Information and Technology Services – Advanced Research Computing – Technology Services
Meghan Richey is a machine learning specialist in the Advanced Research Computing- Technology Services 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 9-10 AM for computer setup assistance.
Please note, this session will be recorded.
If you have questions about this workshop, please send an email to the instructor at email@example.com