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 thirteenth lecture of the MAI612 - Machine Learning course focuses on Dimensionality Reduction.

Learning outcomes

• The problem of dimensionality reduction
• The Principal Components Analysis (PCA) algorithm
• Nonlinear dimensionality reduction using Kernel PCA and Autoencoders
• Manifold Learning approaches
• The t-distributed stochastic neighbour embedding (t-SNE) for visualizing high dimensional data

This lecture is divided in two parts: Principal Component Analysis and Nonlinear Dimensionality Reduction.