This textbook on Artificial Intelligence is designed for B.E./B.Tech/B.S. Computer Science, M.E./M.Tech/M.S. Computer Science, M.C.A., and Data Science degree programs. It provides a solid foundation in the fundamental concepts and applications of Articial Intelligence, with extensive coverage of additional significant topics.

Salient Features:

1. Offers a wide variety of both conventional and unconventional algorithms.
2. Provides a comprehensive overview of Machine Learning concepts and applications,
including Data Mining, Big Data Analytics, and Supervised Learning.
3. Elaborate coverage of Search Algorithms and their types, Heuristics, Game Optimization, and
Constraint Satisfaction Problems.
4. Features separate chapters dedicated to both Basic and Advanced Multivariate Analyses.
5. Includes dedicated chapters on Boosting and Robotics.
6. Utilizes PYTHON.MATPLOTLIB to test and train data.

Preface

Chapter 1 Introduction

Chapter 2 Intelligent Agents

Chapter 3 Expert Systems

Chapter 4 Search Algorithms

Chapter 5 Meta Heuristics

Chapter 6 Artificial Neural Network

Chapter 7 Machine Learning

Chapter 8 K-Nearest Neighbors, Decision Tree and Train and Test Data

Chapter 9 Multivariate Analyses

Chapter 10 Model Selection Dilemmas in Clustering

Chapter 11 Kernel Machines

Chapter 12 Ensemble Methods

Chapter 13 Boosting

Chapter 14 Advanced Multivariate Analysis

Chapter 15 Robotics

Index

R. Panneerselvam, PhD, served a Professor of Computer System and Languages, Operations, and Quantitative Methods, Pondicherry University. He possesses a total of 44 years of teaching and research experience at Anna University and Pondicherry University put together. He has served as the chairman of Computer Society of India (Pondicherry Chapter) and is also a life member Indian Institution of Industrial Engineering and Computer Society of India.
      His textbooks publications in the areas of computer systems and applications are: Database Management Systems, Design and Analysis of Algorithms, System Simulation, Modelling and Languages, Databases and Python Programming: My SQL, MongoDB, OOP and Tkinter, Problem Solving and Python Programming, Advanced Database Management Systems including Python Matplotlib for Data Mining, Design Thinking for Product Design and Process Design, C Programming: A Complete Text, C++ Programming: A Comprehensive Text, Business Statistics using Excel: A Complete Course in Data Analytics and Complete Integrated Manufacturing.