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Related lectures (26)
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Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Sparsest Cut: ARV Theorem
Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
Untitled
Convex Functions
Covers the properties and operations of convex functions.
Linear Algebra: Matrices and Linear Applications
Covers matrices, linear applications, vector spaces, and bijective functions.
Analytical Study of Space
Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.
Mathematical Analysis: Functions and Composition
Covers the analysis of functions, composition, and mathematical induction.
Graph Sketching: Connected Components
Covers the concept of graph sketching with a focus on connected components.
Restriction, Prolongement et Graphe d'une Fonction
Explains the relationship between two functions through restriction and prolongation, emphasizing the importance of defining a function by its graph.
Stein Algorithm: Polynomial Identity Testing
Explores the Stein algorithm for polynomial identity testing and the minimization of a cut problem.