Trees and Graphs Visualised - How AI Maps Relationships

Public lesson preview

See how trees and graphs represent hierarchical and interconnected data powering AI decision-making and recommendations.

Programme: AI Sketch
Level: Intermediate
Reading time: 18 min read

Learning objectives

By the end of this lesson, you will understand:

Data With Relationships
Trees - Hierarchical Data
Graphs - Everything Connected
How AI Uses Trees
How AI Uses Graphs

Lesson outline

Data With Relationships
Trees - Hierarchical Data
Trees Are Everywhere
Binary Trees
Binary Search Trees (BSTs)
Graphs - Everything Connected
Graphs Are Everywhere
How AI Uses Trees
Decision Trees
Random Forests
How AI Uses Graphs
Knowledge Graphs
Recommendation Graphs
Traversal - Walking Through Trees and Graphs
Depth-First Search (DFS)
Breadth-First Search (BFS)
Key Takeaways

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Trees and Graphs Visualised - How AI Maps Relationships

Learning objectives

Lesson outline

Continue Trees and Graphs Visualised - How AI Maps Relationships with Pro