Artificial Intelligence and Machine Learning: In-depth Short Course

Topics Covered in the Course As you explore the course, you will meet and learn with other people who are also interested in artificial intelligence and/or machine learning discussing and exploring topics such as: What are we talking about when we talk about AI? The faces of AI Games IRL Drone Delivery Smart Home AI today and tomorrow Your journey in this course What are we asking AI to do? Who What and Where How Finding a solution to a (discrete) problem Searching the environment Drones in (discrete) space! Path searches Searching the space Searching for good positions Smarter searching Optimisation, or, Achieving an objective (even in a continuous space!) Achieving an objective Constraint satisfaction problems Solving constraint satisfaction problems Local searches and optimisation Continuous space optimisation Gradient methods Other continuous space optimisation methods Genetic algorithms Crossing the Rubicon Machine learning What is machine learning? Why do we use machine learning? How does machine learning technology work? Artificial Neural Networks: Input layer Artificial Neural Networks: Hidden layers Artificial Neural Networks: Output layer Supervised learning: the basics Fun with supervised learning Classification and diagnostics Spam filtering Reading handwriting Basic speech recognition Medical diagnosis Reinforcement learning: the basics Fun with reinforcement learning Drone Delivery: The game! Drone Delivery: States, actions and rewards Drone Delivery: Q-learning Drone Delivery: Exploration and exploitation Drone Delivery: Deep Q-learning Supervised learning: further exploration Valuation of houses (and all sorts of things) Using one variable to estimate another Multiple input variables Learning regression and overfitting Reinforcement learning: further exploration Moving about in the real world Robotic movement: Today's challenges Unsupervised learning Fun with unsupervised learning Customer segmentation k-means clustering