FYS: From Turing to Tomorrow: Foundations and Trends of Machine Learning

3 Credits.

Curious about where machine learning is going? To better predict the future of algorithms, this course teaches students how computers can learn from data, recognize patterns, make predictions, and improve through experience. The seminar draws on classic and current work in machine learning, deep learning, and reinforcement learning, as well as recent developments in artificial intelligence. Students will read and discuss classic texts that explain how learning algorithms are evaluated, how models are selected, and other concepts such as kernel methods, boosting, and other foundational topics. No previous experience with machine learning is required, and students are encouraged to read, ask questions, and discuss ideas with classmates.