The Data Institute for Societal Challenges at the University of Oklahoma is dedicated to facilitating data-oriented research across its campuses. To empower researchers at OU Norman and OU Health Sciences, a tutorial series is being developed by Dr. Andrew Fagg, Ph.D., the associate director of the Data Institute and a presidential professor and associate professor of computer science and bioengineering in the Gallogly College of Engineering. Leveraging his extensive experience in machine learning and artificial intelligence, these tutorials aim to equip faculty, researchers, and students with valuable skills and insights to advance their research agendas.
Current Tutorials:
Deep Learning Practice: deep learning basics + using the OU supercomputer: https://github.com/Symbiotic-Computing-Laboratory/deep_learning_practice
Machine Learning Practice: full course on conventional machine learning: https://github.com/Symbiotic-Computing-Laboratory/mlp_2022
Tutorial: Tuning Deep Learning Training & Evaluation on the OU Supercomputer: https://docs.google.com/presentation/d/1ctPshEn6Mj8lYwBqhk0YgJQ8yMYLzattO-y6BRp1Il8/edit?usp=sharing
Transformers Short Course:
Day 1: https://drive.google.com/file/d/1Ilnrc4e24PXh9l6gcagmvQpPK_LVDunI/view?usp=share_link
Day 2: https://drive.google.com/file/d/1qTl7Gipa4Qb6Jv9UZ0mL2Gnfy64eihCD/view?usp=share_link
Day 3: https://drive.google.com/file/d/1815CL0UWMBcTEk41laF-NF1RlJ6uhmxz/view?usp=share_link
Slides (days 1-3): https://docs.google.com/presentation/d/1tjXYu4LDh5GBqFz_3PMsuSfxBt_xYKbbAwdnI-17r-c/edit#slide=id.p
For inquiries or more information, you can contact Dr. Andrew Fagg at andrewhfagg@gmail.com.
