GEO5017 - Machine Learning for the Built Environment

Feb. 20. Lecture notes on Bayesian classification and logistic regression are available. You are encouraged to read these materials before the lectures.
Feb. 20. Slides for lectures clustering and neareast neighbor classification have been uploaded.
Feb. 13. Lecture notes on clustering and nearest neighbor classification are available. You're highly encouraged to read these materials before the lectures.
Feb. 13. The first assignment (i.e., A1: linear regression) is available on BrightSpace under 'Assignments'. Note: you must join a group to access the assignment.
Feb. 13. Slides and letcutre notes for today's lectures on introduction to machine learning and linear regression and gradient descent are available. Example code for gradient descent can be found here.
Feb. 5. The first lecture/meeting will be on the 13th of Feb. 2025. Check out the course calendar.
Jan. 9. The course website is online.