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Applied Machine Intelligence (NCHNAP785)

30 Credits

This course covers the theoretical foundations and practical application of artificial intelligence (AI) and machine learning.

Learners will explore how to use AI and machine learning methodologies such as data mining, supervised/unsupervised machine learning, deep learning, natural language processing and machine vision to meet business objectives. Performance and accuracy metrics for model validation, optimisation techniques, sources of error and bias will be examined.

Learners will gain hands-on experience of AI and machine learning using Python, R and modern machine libraries such as TensorFlow.

Emerging technologies and trends such as multi-agent reinforcement learning will be introduced and evaluated.