Artificial Intelligence and Machine Learning 21AI54 VTU University 5th SEM Computer science and Engineerings | 21AI54 notes

Scheme & Syllabus Copy of Artificial Intelligence and Machine Learning 21AI54

Introduction: What is AI? Foundations and History of AI.

Problem-solving: Problem-solving agents, Example problems, Searching for Solutions, Uninformed Search.

Strategies: Breadth First search, Depth First Search.

Informed Search Strategies: Greedy best-first search, A*search, Heuristic functions. Introduction to Machine Learning, Understanding Data.

Basics of Learning theory.

Similarity Based Learning.

Regression Analysis.

Decision Tree learning.

Bayesian Learning.

Artificial neural Network.

Clustering Algorithms.