Module Descriptor School of Computer Science and Statistics
|Module Name||Machine Learning|
|Module Short Title|
|Semester Taught||Michaelmas Term|
2 lecture hours per week, and a few additional lab sessions (around four in total).
|Module Personnel||Assistant Professor Joeran Beel & Professor Douglas Leith|
Students who complete this module should be able to:
The principal aim of this module is to provide students with a working understanding of machine-learning techniques and their application to solve real-world problems.
|Recommended Reading List|
A first course in probability and a basic knowledge of linear algebra
Assessment in the Supplemental session will be based on 100% exam.
|Academic Year of Data|