Explores projections on lines and symmetries in 2D space, emphasizing fixed points and symmetric matrices.
Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Covers graph processing with a focus on Oracle Labs PGX, discussing graph analytics, databases, algorithms, and distributed analytics challenges.
Introduces elementary graph algorithms, focusing on Breadth-First Search and Depth-First Search.
Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Introduces Union-Find data structure and Prim's algorithm for minimum spanning trees in graphs, exploring cuts and historical origins.
