The University of Cyprus's Master programme in Artificial Intelligence 4 Careers in Europe (MAI4CAREU) includes several courses, with MAI645 - Machine Learning for Graphics and Computer Vision being one of them. This course is delivered by the CYENS Centre of Excellence.

Learning outcomes

This lecture provides a concise introduction to the three primary paradigms of machine learning: supervised, unsupervised, and reinforcement learning. Students will explore the fundamentals of linearity and non-linearity in models, learning to apply basic regression techniques such as linear and polynomial regression. This foundational knowledge prepares students for more complex topics in graphics and computer vision.

The course also covers:

• Supervised, Unsupervised, and Reinforcement Learning
• Linearity vs Non-Linearity in models
• Basic Regression Techniques
• Model Evaluation Metrics
• Feature Selection
• Gradient Descent
• Practical Applications in graphics and vision

Visual examples and step-by-step guides are used throughout the course to reinforce learning.