modules

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 modules: COMM414 DA Introduction to Data Science (Professional), COMM415 DA Fundamentals of Data Science (Professional), COMM416 DA Learning from Data (Professional) 

Co-requisite modules: None.

 

This module is a part of the dual-qualification  MSc Data Science (Professional)

 / Level 7 Research Scientist Apprenticeship programme. It cannot be taken as an elective by students on other programmes. 

 

The apprenticeship standard and other documentation relating to the Level 7 Research Scientist Apprenticeship can be found here: https://www.instituteforapprenticeships.org/apprenticeship-standards/research-scientist-v1-0.