MAI4CAREU - Machine Learning: Model Evaluation and Improvement

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

Learning content

Website link

MAI4CAREU - Lecture 5 - Model Evaluation and Improvement

Target audience

Digital skills for ICT professionals and other digital experts.

Digital skill level

Intermediate

Advanced

Digital Expert

Geographic scope - Country

Austria

Belgium

Bulgaria

Cyprus

MAI4CAREU - Machine Learning: Model Evaluation and Improvement

MAI4CAREU - Machine Learning: Model Evaluation and Improvement

Learning outcomes

Learning content

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