Courses
Deep Learning Fundamentals – Learning Deep Learning With a Modern Open Source Stack (Free Course)
- A modern class consisting of 10 units with bite-sized videos
- It is more concise than my university class but also covers additional topics: multi-GPU training, self-supervised learning, setting up effective hyperparameter sweeps, learning rate scheduling, and many more
- Code examples are in PyTorch; some units use the Lightning Trainer for extra functionality
Introduction to Deep Learning
- Video recordings of an introductory deep learning course
- Code examples are in PyTorch
Introduction to Machine Learning
- Video recordings of an introductory machine learning course
- Code examples are in scikit-learn and MLxtend
Lightning Bits: Engineering for Researchers
- A series of short videos with William Falcon teaching to become more productive in your machine learning and AI research
- Covering fundamental tools like IDEs, Git, the terminal, and more
Courses taught at UW-Madison
Below is a list of courses I taught at the University of Wisconsin-Madison as former professor in the Department of Statistics.
Fall 2021
Spring 2021
Fall 2020
- STAT 451: Introduction to Machine Learning and Statistical Pattern Classification
- STAT 571: Statistical Methods for Bioscience I