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Discrete Math Essentials for AI

Graph theory and combinatorics — the math behind graph neural networks.

2 lessons ~1 hours 110 XP

Chapter 1: Graph Theory and Combinatorics

Nodes, edges, and adjacency matrices for GNNs.

1.1

Graph Theory Basics

Nodes, edges, adjacency matrices.

Soon+60 XP
1.2

Basic Combinatorics

Counting and combinatorial thinking.

Soon+50 XP