modules
| Module title: | Machine Learning (Professional) |
|---|---|
| Module code | ECMM458 |
| Module lecturers: | Dr Fabrizio Costa |
| Module credits: | 15 |
*** This module is a “professional” version of the similar module ECMM422 . It is intended to be taught in a short-fat format based around 3-day teaching blocks, as part of the MSc Data Science (Professional) programme. ***
Machine learning has emerged mainly from computer science and artificial intelligence, and draws on methods from a variety of related subjects including statistics, applied mathematics and more specialized fields, such as pattern recognition and neural computation. Applications are, for example, image and speech analysis, medical imaging, bioinformatics and exploratory data analysis in natural science and engineering. This module will provide you with a thorough grounding in the theory and application of machine learning, pattern recognition, classification, categorisation, and concept acquisition.
Pre-Requisite module: ECMM431
Co-requisite modules: None.
Please note that all modules are subject to change, please get in touch if you have any questions about this module.