Machine Learning and Real-world Data

You will find the material for the course linked from the lecture sections on the Moodle page. All material which is examinable can be found in the slides, in the practical exercises or in the additional notes.

There will be no ticks for MLRD. You are expected to do the practical tasks to support your supervision work. You can discuss the practical tasks with your supervisor. The automated tester for each task will be enabled as we progress through the lectures. It is not necessary to do the starred parts of the tasks for the exams. However, looking at the material for the starred items may well help you understand material more thoroughly.

Supervision Schedule

Supervision 1: Practical tasks 1, 2 and 3, Worksheet 1

Supervision 2: Practical tasks 4, 5 and 6, Worksheet 2

Supervision 3: Practical tasks 7, 8 and 9, Worksheet 3

Supervision 4: Practical tasks 10, 11 and 12, Worksheet 4

Past papers are here