CS181 Machine Learning, Teaching Fellow, Spring 2022
Undergraduate course, Harvard University, 2022
CS181 provides a broad and rigorous introduction to machine learning, probabilistic reasoning and decision making in uncertain environments. Topics include: supervised learning, ensemble methods and boosting, neural networks, support vector machines, kernel methods, clustering and unsupervised learning, maximum likelihood, graphical models, hidden Markov models, inference methods, reinforcement learning.