Data is an asset only if it is of high quality and usable, otherwise it is a liability. This course introduces data mining, machine learning, deep learning, data analytics and data visualization combining statistical theories with real-world computer-based applications. Students, through hands on practice by running and creating machine learning projects, will gain understanding of the fundamentals of machine learning, deep learning, artificial intelligence and their real-world applications.

Prerequisite: 21:198:102 or 21:219:220.