The University of Sheffield
Programme Regulations Finder

MAS369   Machine Learning   (10 credits)

 
Year Running: 2018/2019
Credit level: F6
Excluded   MAS61007  

Description

Machine learning lies at the interface between computer science and statistics. The aims of machine learning are to develop a set of tools for modelling and understanding complex data sets. It is an area developed recently in parallel between statistics and computer science. With the explosion of 'Big Data', statistical machine learning has become important in many fields, such as marketing, finance and business, as well as in science. The module focuses on the problem of training models to learn from training data to classify new examples of data.

 

Reading List


Please click here for reading list.
 

Teaching Methods

Delivery Type Hours
Independent 80.0
Lecture 20.0
 

Methods of assessment

Assessment Type Duration % of formal assessment Semester
Other 0.0 100 % S1
 

Teaching methods and assessment displayed on this page are indicative for 2024-25.