IT80566: Introduction to Machine Learning

This module provides a broad introduction to the fundamental concepts, theories, and practical applications of Machine Learning (ML). Students will explore the core principles of designing and implementing ML models to extract insights and make predictions from data. The course covers the main categories of machine learning supervised, unsupervised, and reinforcement learning and introduces the complete workflow of an ML project, from data preprocessing and feature engineering to model evaluation and deployment. Emphasis is placed on hands-on application using industry-standard tools and libraries.