Browse Hierarchy EMS702P: Statistical Thinking and Applied Machine Learning

Deriving insight from data collected by businesses in their operations, is essential to problem-solving, innovation, and growth of a business. To gain this insight the data needs to be understood and appropriately interpreted. In this module, you will learn probability theory and the transformation of data from a high- into a low-dimensional space. You will develop the statistical thinking of data scientists on designing data collection, derive insights from visualising data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data. Building on the statistical foundation, you will learn techniques for unsupervised and supervised learning and apply them to automating routine engineering tasks, and to apply machine learning approaches to complex and critical systems in a holistic and system-oriented way.