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 course will be conducted fully remotely this term.

Guided Study Materials

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

Lectures

The live interactive lecture session will run on Thursdays 14:00-15:00 UK time remotely on Microsoft Teams, from Week 2 onwards.

Lab

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.

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	4/10/2021	-	-
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)
9	29/11/2021	Revision	-	-