MAI4CAREU - Machine Learning: Trees and Forests

The University of Cyprus's MSc Artificial Intelligence is part of the Master programmes 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 sixth lecture of the MAI612 - Machine Learning course focuses on Trees and Forests.

Learning outcomes

How decision tree models work
How to train decision trees using the concepts of entropy and information gain
How to use continuous variables in decision trees
Classification and regression trees
Why ensembles of models can achieve lower generalization errors
Ensemble methods such as bagging, random forests, boosting, XGBoost and stacking

Learning content

Website link

MAI4CAREU - Lecture 6 - Trees and Forests

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: Trees and Forests

MAI4CAREU - Machine Learning: Trees and Forests

Learning outcomes

Learning content

Linked content

MAI4CAREU - MSc in Artificial Intelligence

MAI4CAREU - Machine Learning: Trees and Forests

Learning outcomes

Learning content

Related Content

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MAI4CAREU - Machine Learning: Clustering

MAI4CAREU - Machine Learning: Classification

MAI4CAREU - Machine Learning: Introduction to Machine Learning

Linked content

MAI4CAREU - MSc in Artificial Intelligence