State Space Search & Tower of Hanoi Problem Informed (Heuristic) Search Strategies & Evaluation Functions Greedy Best-First Search (Logic & Complexity) A* Search (Algorithm, Admissibility, & Consistency) Iterative-Deepening A* (IDA*) Search Heuristic Functions (Design & Dominance) Local Search & Optimization Problems Hill-Climbing Search (Varieties & Pitfalls)
Covers Complete Clustering Algorithm
From understanding of tree-based classifiers, its different measurement parameters to classification and feature ranking using random forest
Naive Bayes (AI) [Classification: Alternative Techniques]
UNIT–I: Introduction to Intelligent Agents & UNIT–II: Multi-Agent Systems Fundamentals