This unit is aimed at developing a practical understanding of Machine Learning (ML) and Artificial Intelligence (AI) techniques. Students will have a good understanding of key algorithms used in ML and AI. They will learn when and how to use supervised and unsupervised learning techniques, build and validate models and analyse their performance. The learning activities will be centered around real-world problems chosen from different fields such as engineering, social and environmental applications. Students will use the Python programming language and relevant Python modules for their work in this unit.
PRESCRIBED TEXT - PYTHON MACHINE LEARNING: MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION
