Machine Learning and Deep Learning 1
(Spring 2025)

• Day/Time: Tuesdays & Thursdays / 15:30 - 16:45

• Classroom: 43-201

• Textbook:

  • ISL: "An Introduction to Statistical Learning" by James, Witten, Hastie, and Tibshirani, 2023, Springer. (Online copy)

  • UDL: "Understanding Deep Learning" by Simon J.D. Prince, 2023, MIT Press. (Online copy)

• Prerequisite:

  • Prior knowledge of basic Python programming

  • Prior knowledge of statistics, calculus, linear algebra

• Grading: Assignments 30%, Mid-term exam 30%, Final exam 30%, Class participation 10%

• Office Hours: By request