Course structure
Our course is structured as follows. A more detailed version can be found on the home page.
| Week | Topic | Lab | CW |
|---|---|---|---|
| 2 | Machine Learning: The Big Picture | LAB | - |
| 3 | K Nearest Neighbours and Decision Trees | LAB | CW1 |
| 4 | Evalation of Machine Learning systems | LAB | CW1 |
| 5 | Neural Networks (Part 1) | LAB | CW1 |
| 6 | Neural Networks (Part 2) | LAB | CW2 |
| 7 | Unsupervised Learning: Clustering & Density Estimation | LAB | CW2 |
| 8 | Evolutionary Algorithms | LAB | CW2 |
The lab sessions will be held on Tuesdays 2-4pm. These will be in Huxley 202/206.
The live discussion/Q&A sessions will be held on Thursdays 11am-12pm. These will be in Huxley 308.
Schedule change in Week 5
Marek is away on Thursday in Week 5. To accomodate his schedule, just for this week we have moved the live Q&A to the second hour of the labs on Tuesday (3-4pm). The second hour of the lab will happen instead on Thursday 5-6pm in Huxley 219 (the main lab). This change in schedule for Week 5 should be reflected on CELCAT.
- Lab: Tuesday (6 Feb) 2-3pm HXLY 202/206
- Live Q&A: Tuesday (6 Feb) 3-4pm HXLY 308
- Lab: Thursday (8 Feb) 5-6pm HXLY 219