Course description
Welcome to Introduction to Machine Learning!
This webpage will be the main portal for the course. Most things you need will be available here. The exceptions are:
- PDF of slides and optional tutorial materials: available on Scientia
- Announcements and questions/answers/discussions: on Ed
Guided Study Materials
Please go through the study materials before the live interactive session.
Lectures
The live interactive Q&A session will run on Thursdays 14:00-15:00 from Week 2 onwards. These will be held in Huxley 308.
Lab
The lab sessions will be held on Tuesdays 14:00-16:00 from Weeks 2 to 8 (inclusive). These will be held in Huxley 202/206.
The lab sessions are for you to work on your coursework and the optional lab exercises. Tutorial helpers will be available to support you and help you with any queries.
Coursework
There will be two coursework assignments. Please see the schedule below for the deadlines for these.
Course plan
| Week | Date (Mon) | Lecture | Lab | Coursework |
|---|---|---|---|---|
| 1 | 6/1/2025 | - | - | |
| 2 | 13/1/2025 | Machine Learning: The Big Picture | Lab | |
| 3 | 20/1/2025 | K Nearest Neighbours and Decision Trees | Lab | Coursework 1 released (Mon 20 Jan) |
| 4 | 27/1/2025 | Evaluation of Machine Learning Systems | Lab | |
| 5 | 3/2/2025 | Neural Networks (Part 1) | Lab | Coursework 1 due (Fri 7 Feb 19:00 GMT) |
| 6 | 10/2/2025 | Neural Networks (Part 2) | Lab | Coursework 2 released (Mon 10 Feb) |
| 7 | 17/2/2025 | Unsupervised Learning: Clustering and Density Estimation | Lab | |
| 8 | 24/2/2025 | Evolutionary Algorithms | Lab | Coursework 2 due (Fri 28 Feb 19:00 GMT) |
| 9 | 3/3/2025 | Revision | - | - |
Team
Instructors
Course support leaders
Course assistants
Zhuoyuan Li
Tutorial Assistant