

Socially Informed ML Practices
A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.



Introduction to Tropical Geometry and its Applications to Machine Learning
Tropical geometry is a relatively recent field in mathematics and computer science combining elements of algebraic geometry and polyhedral geometry.



Symbolic, Statistical, and Causal Representations
In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.



Introduction to Image Processing
This lecture overviews digital images, image processing and image analysis. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel images, e.g., color and multispectral images come next.



Computational Geometry
This lecture overviews Computational Geometry that has many applications in Computer Graphics, Robotics, Geographic Information Systems, CAD/CAM.



Mathematical Morphology
This lecture overviews Mathematical Morphology that has many applications in digital image processing, analysis and computer vision.