MACHINE LEARNING & NEURAL NETWORKS
- Module code: CS401
- Credits: 5
- Semester: 1
- Department: COMPUTER SCIENCE
- International:
Overview | |
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Machine learning principles. Target functions and Inductive bias. Decision trees, ID3 and C4.5. Lazy learning, CBR and K Nearest neighbours, Biological nerons and Hebbian learning. Perceptrons and decision spaces. Multi layer-Perceptrons, and back-propagation learning. Recurrent neural networks, Hopfield neural networks. Stochastic networks. Evolutionary and Genetic computation. |
Learning Outcomes | |
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Teaching & Learning methods | |
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Assessment | |
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Autumn Supplementals/Resits | |
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Timetable | |
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