TY  - BOOK
AU  - Paatil,S.
AU  - Taru,A.
AU  - Mandlik,C.
TI  - Textbook of Artificial intelligence (CSDT-114B ): M. Sc. Computer science, Sem-1
SN  - 9789350164815
U1  - 006.3 22nd ed.
PY  - 2019///
CY  - Pune
PB  - Vision Publication
KW  - FYMSc
KW  - Artificial intelligence
KW  - Computer science
KW  - Programming languages
N1  - Contents

1. Introduction to Artificial Intelligence
Introduction and Intelligent System    
What is AI  
Foundation of AI 
The History of Artificial Intelligence 
Applications of AI
Early Works in AI
AI and Related Fields  
AI Problems  
AI Techniques    

2. Searching   
Introduction
Defining AI Problems as a State Space Search
Production Systems
Search and Control Strategies    
Problem Characteristics
 Issues in the Design of Search Programs
Blind Search Techniques
 Breadth-First Search   
Depth First Search
Depth Limited Search   
Depth First Iterative Deepening Search 
Uniform Cost Search    
Heuristic Search Techniques 
Hill Climbing    
Best First Search
Problem Reduction
Constraint Satisfaction
Mean- Ends Analysis    

3. Knowledge Representation    

 Introduction
Knowledge Representations and Mapping  
Approaches to Knowledge Representation 
Propositional Logic    
Predicate Logic
Game Playing
The Minimax Search Procedure
Adding Alpha Beta Cutoffs   

4. Introduction to AI with Python   

Introduction to Python 
Why Python with AI?    
Basics of Python 
Basic Datatypes used in Python   
Python Statements
Flow Control Statements
Python Functions 
Python Module    
Python Packages  
Python Decorators
Python Generators
Python Data structure  
Introduction to OOPs in Python

5. Machine Learning 

What is Machine Learning?   
Why Machine Learning?  
KNN    
Random Forest Algorithm
K-means for Clustering 

6. Reinforcement Learning
UR  - http://collegecirculars.unipune.ac.in/sites/documents/Syllabus%202019/M.Sc.%20Computer%20Science%20%20(Part-I)%20%20%20(For%20Colleges)_19.092019.pdf
ER  -