Displaying 273 resources
Introduction to Machine Learning
This lecture will cover the basic concepts of Machine Learning to alleviate inconsistencies towards concept and notation accuracy. Supervised, self-supervised, unsupervised, semi-supervised learning. Multi-task Machine Learning.
Geometric data analysis based on manifold learning with applications for image understanding
The conference paper gives in the first section a brief and easy understandable introduction into the basics of Riemannian geometry.
Introduction to Statistics
This lecture provides an Introduction to Statistics that has many applications in Data Analytics, Machine Learning and Signal Analysis. It covers the following topics in detail: Random Variables. Data Types. Data Sampling.
e-Symposium 2023: Depoliticising Social Media? The Politics of State-Sponsored, Election-related Disinformation Studies
The talk discusses the disinformation study undertaken by the author and commissioned by the Dutch Ministry of Internal Affairs, published in 2020. It introduces the context of the concern for ‘fake news’ in Europe after the U.S.

Speech and Language Processing
Here's our Jan 7, 2023 draft! This draft is mostly a bug-fixing and restructuring release, there are no new chapters.
Image Registration
This lecture overviews 2D Image Registration that has many applications in photography, computer vision, and medical imaging.