Parts and Vectors in CoordinatesCovers landmarks, coordinate systems, frames, and terminology in coordinates, emphasizing geometric angles and orthogonal vectors.
Projections and SymmetriesExplores projections on lines and symmetries in 2D space, emphasizing fixed points and symmetric matrices.
Knowledge Inference for GraphsExplores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.
Graph Machine LearningDelves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.
Reducing an ApplicationCovers the reduction of an application, finding reduced forms of matrices, diagonalizability, and polynomial roots.
