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Lecture notes on reinforcement learning
Reinforcement learning is an appealing subject. Firstly, it is a very general concept: an agent interacts with an environment with the goal to maximize
the rewards it receives from the environment.
Stereotypes in Language & Computational Language Models
Combined knowledge from linguistics, psychology, and natural language processing.
Algebraic Graph Analysis
This lecture overviews Algebraic Graph Analysis that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Graph Basics.
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.
Cinematography Issues in Sports Filming
This lecture overviews Cinematography Issues in Sports Filming that has many applications in digital media and TV productions.
Digital Images
This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.