COMP6010

COMP6010: Planning and Handling Uncertainty in Machine Learning

Science and Engineering

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About this Unit

This unit will cover the different aspects of planning and probabilistic learning methods. It will cover fundamental topics such as action/plan representation as well as more advanced topics such as planning and reasoning under uncertainty. The learners will be familiar with the source of uncertainties in machine learning and artificial intelligence and learn how to handle uncertainties in real world machine learning applications.

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Unit Details

Credits25

Contact Hours3 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education020100 Computer Science (Narrow Grouping)

Handbook View Official Handbook Page →

Tuition Pattern

Online Lecture1 x 2 hours weekly
Practical1 x 1 hour weekly

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