ADR Awareness Centre

This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.

This lecture provides an Introduction to Statistics that has many applications in Data Analytics, Machine Learning and Signal Analysis. It covers the following topics in detail: Random Variables. Data Types. Data Sampling.

This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications.

This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.

This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.

This lecture overviews the impact of the Large Language Models, particularly of ChatGPT language model in Education, e.g., in Universities. First it present the ChatGPT transformer structure and ChatGPT training.