Introduction to AI; Machine Learning and Deep Learning

The aim of this course is to introduce the fields of artificial intelligence (AI); machine learning (ML) and deep learning (DL). We explore AI’s initial successes and subsequent challenges and failures; and explore the practical and technical challenges of achieving AI; including the importance of relevant data; and the costs of running large deep learning models. The course explains how machine learning emerged in the 1950s; introducing supervised; unsupervised and reinforcement learning. The course concludes by introducing deep learning; and basic architecture of deep learning models. We examine a number of use-cases; limitations and current research areas.