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 EdStem
The course will be conducted fully remotely this term.
Guided Study Materials
Please go through the study materials before the live interactive session.
The live interactive lecture session will run on Thursdays 14:00-15:00 UK time remotely on Microsoft Teams, from Week 2 onwards.
The lab sessions will be held on Tuesdays 11:00-13:00 UK time remotely on Microsoft Teams, also from Week 2 onwards.
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.
There will be two coursework assignments. Please see the schedule below for the deadlines for these.
|2||11/10/2021||Machine Learning: The Big Picture||Lab|
|3||18/10/2021||K Nearest Neighbours and Decision Trees||Lab||Coursework 1 released (Mon 18 Oct)|
|4||25/10/2021||Evaluation of Machine Learning Systems||Lab|
|5||1/11/2021||Neural Networks (Part 1)||Lab||Coursework 1 due (Fri 5 Nov 19:00 GMT)|
|6||8/11/2021||Neural Networks (Part 2)||Lab||Coursework 2 released (Mon 8 Nov)|
|7||15/11/2021||Unsupervised Learning: Clustering and Density Estimation||Lab|
|8||22/11/2021||Evolutionary Algorithms||Lab||Coursework 2 due (Fri 26 Nov 19:00 GMT)|
Course Support Lead