INTRODUCTION TO ARTIFICIAL INTELLIGENCE

&

MACHINE LEARNING

SYLLABUS

Model Paper

Assignment-1 MID-1 Paper MID-1 OBJ Paper MID1--DB MID-1 OBJ DB

Assignment-2 MID-2 Paper MID-2 OBJ Paper MID2--DB MID-2 OBJ DB

UNIT -I

AI Introduction : PDF LINK

Water Jug Problem : PDF LINK

Problem Characteristics : PDF LINK

Agents in AI : Lecture Notes Link

Turing Test : Lecture Notes link

UNIT -2

BFS & DFS : PDF LINK

Heuristic Search : PDF LINK

Hill Climbing : PDF LINK

Problem Reduction : PDF LINK

Constraint Satisfaction : PDF LINK

Best First Search : PDF LINK

Means Ends Analysis : PDF Link

UNIT -3

First Order Logic : PPT LINK

Clause Conversion : PPT LINK

Unification : PPT LINK

Resolution : PDF LINK

Conceptual Dependency : PPT LINK

Script : PPT LINK

Semantic Networks & Frames : PPT LINK

UNIT -4

Introduction to ML : PDF PPT

AI Vs ML : PDF

Wellposed Learning Problem : PDF

Design a Learning System :PDF

Classification of ML : PDF

Classification vs Regression : PDF

Ranking : PDF

ML Models : PDF

Real time Applications : PDF

UNIT -5

Concept Learning introduction and

Find S algorithm, List then elimination alogoritm : Lecture Notes

Candidate elimination algorithm, Remarks & Inductive Bias : PPT