Contents

1. Introduction to Artificial Intelligence

1. Introduction and Intelligent System    

2. What is AI  

3. Foundation of AI 

4. The History of Artificial Intelligence 

5. Applications of AI

6. Early Works in AI

7. AI and Related Fields  

8. The AI Problems  

9. AI Techniques    

2. Searching   

1. Introduction

2. Defining AI Problems as a State Space Search

3. Production Systems

4. Search and Control Strategies    

5. Problem Characteristics

6. Issues in the Design of Search Programs

7. Blind Search Techniques

8. Breadth-First Search   

9. Depth First Search

10.Depth Limited Search   

11.Depth First Iterative Deepening Search 

12.Uniform Cost Search    

13.Heuristic Search Techniques 

14.Hill Climbing    

15.Best First Search

16.Problem Reduction

17.Constraint Satisfaction

18.Mean- Ends Analysis    

3. Knowledge Representation    

1. Introduction

2. Knowledge Representations and Mapping  

3. Approaches to Knowledge Representation 

4. Propositional Logic    

5. Predicate Logic

6. Game Playing

7. The Minimax Search Procedure

8. Adding Alpha Beta Cutoffs   

4. Introduction to AI with Python   

1. Introduction to Python 

2. Why Python with AI?    

3. Basics of Python 

4. Basic Datatypes used in Python   

5. Python Statements

6. Flow Control Statements

7. Python Functions 

8. Python Module    

9. Python Packages  

10.Python Decorators

11.Python Generators

12.Python Data structure  

13.Introduction to OOPs in Python

5. Machine Learning 

1. What is Machine Learning?   

2. Why Machine Learning?  

3. KNN    

4. Random Forest Algorithm

5. K-means for Clustering 

6. Reinforcement Learning