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MAI4CAREU - Machine Learning: Dimensionality Reduction

MAI4CAREU - Machine Learning: Dimensionality Reduction

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.

Learning content

Website link
MAI4CAREU - Lecture 13 - Dimensionality Reduction
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
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