COMP70050: Introduction to Machine Learning | Department of Computing

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 EdStem

Classes

The live interactive session will be conducted fully remotely.
The lab session will be conducted fully on-site.

Guided Study Materials

Please go through the study materials before the live interactive session.

Live interactive session

The live interactive session will run on Thursdays 10:00-11:00 UK time remotely on Microsoft Teams, from Week 2 onwards.

If you would like to join the remote meeting from campus, Huxley 308 and the main lab (Huxley 219) have been reserved for you.

Lab

The lab sessions will be held on Tuesdays 14:00-16:00 UK Time, also from Week 2 onwards. This will be held fully on site across all Computing labs on Huxley level 2 (202/206/210/219/221/225).

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.

Weekly Study Page EdStem Scientia CATE Panopto LabTS

Course plan

Week	Date	Lecture	Lab	Coursework
1	3/10/2022	-	-
2	10/10/2022	Machine Learning: The Big Picture	Lab
3	17/10/2022	K Nearest Neighbours and Decision Trees	Lab	Coursework 1 released (Mon 17 Oct)
4	24/10/2022	Evaluation of Machine Learning Systems	Lab
5	31/10/2022	Neural Networks (Part 1)	Lab	Coursework 1 due (Fri 4 Nov 19:00 GMT)
6	7/11/2022	Neural Networks (Part 2)	Lab	Coursework 2 released (Mon 7 Nov)
7	14/11/2022	Unsupervised Learning: Clustering and Density Estimation	Lab
8	21/11/2022	Evolutionary Algorithms	Lab	Coursework 2 due (Fri 25 Nov 19:00 GMT)
9	28/11/2022	Revision	-	-