The University of Cyprus's MSc Artificial Intelligence is part of the Master programme in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI612 - Machine Learning is split up into several lectures. Taught by Vassilis Vassiliades, PhD, the fifth lecture of the MAI612 - Machine Learning course focuses on Model Evaluation and Improvement.

Learning outcomes

• The issue of generalization in machine learning and how it is related to model evaluation
• The concepts of overfitting, underfitting and the bias-variance tradeoff
• The importance of training, validation and test setswhat k-fold cross-validation is and when to use it
• When to acquire more data to improve ML models
• How to improve ML models using L1 and L2 regularization
• How to improve ML models by tuning their hyperparameters