these notes explain Artificial Intelligence (AI) and Machine Learning (ML) in simple language. They cover what AI, ML and deep learning mean and how they differ, the history of AI from 1950 to today, the three types of machine learning (supervised, unsupervised and reinforcement), common algorithms and how a model is trained, and neural networks, language processing and computer vision. They also show how AI is used in healthcare, finance, education, agriculture and transport, discuss the benefi...