CO553: Introduction to Machine Learning | Department of Computing

Course description

Welcome to Introduction to Machine Learning!

Classes

Because of the situation with COVID-19, the course will be conducted fully online this year.

Guided Study Materials

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

Lectures

The live interactive lecture session will run on Thursdays 09:00-10:00 BST (or GMT after 25th Oct) on Microsoft Teams, from Week 2 onwards.

Lab

The lab sessions will be held on Wednesdays 09:00-11:00 BST (or GMT after 25th Oct) on Microsoft Teams, from Week 3 onwards.

The lab sessions are for you to work on your coursework and other 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 Piazza Materials CATE Panopto LabTS

Course plan

Week	Date	Lecture	Lab	Coursework
1	5/10/2020	-	-
2	12/10/2020	Machine Learning: The Big Picture	-
3	19/10/2020	K Nearest Neighbours and Decision Trees	Lab	Coursework 1 released (Mon 19 Oct)
4	26/10/2020	Evaluation of Machine Learning Systems	Lab
5	2/11/2020	Neural Networks (Part 1)	Lab	Coursework 1 due (Fri 6 Nov 19:00 GMT)
6	9/11/2020	Neural Networks (Part 2)	Lab	Coursework 2 released (Mon 9 Nov)
7	16/11/2020	Unsupervised Learning: Clustering and Density Estimation	Lab
8	23/11/2020	Evolutionary Algorithms	Lab	Coursework 2 due (Fri 27 Nov 19:00 GMT)
9	30/11/2020	Revision	-	-