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Machine and Deep Learning

Module code: SPC707P

Credits: 30.0
Semester: YEAR

Contact: Dr Andrew Danos

The module covers fundamental concepts of machine learning with emphasis on the development of practical skills required for the selection and application of machine learning methods to defined problems. Topics include data representation and preparation, unsupervised learning methods, regression and classification methods, artificial neural networks and performance evaluation. Face-to-face teaching will be combined with extensive hands-on sessions in the computational lab.

Connected course(s): UDF DATA
Assessment: 85.0% Coursework, 15.0% Examination
Level: 7

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