Programme Content
Module 1Introduction to ML and AI: The Intelligence All Around UsFrame an AI problem and distinguish prediction, learning and automation Module 2The Gears and Wheels of Machine Learning ModelsConnect data, model parameters and a learning objective to predictions Module 3Derivatives and Gradient DescentHow derivatives guide iterative updates that reduce model error Module 4Journey from Traditional Machine Learning to Deep LearningConnect classical ML to neural networks and representation learning Module 5Training Your First Neural NetworkBuild, train and inspect a neural network step by step
