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This module introduces students to the mathematical techniques that form the cornerstone of Machine Learning. Students will first of all study in depth the key concepts in continuous optimization (unconstrained, constrained, and global), before going on to apply these concepts to common algorithms in Machine Learning.
About this Module
Student Effort Hours:
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Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
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Assessment Strategy
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Carry forward of passed components
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| Terminal Exam |
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| Name | Role |
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| Dr Marco Viola | Lecturer / Co-Lecturer |
| Assoc Professor Barry Wardell | Lecturer / Co-Lecturer |