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Large Language Models for Developers

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Financial Data Analysis Using Python

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

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Understanding AI, IoT, 6G and The Infrastructure Revolution

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Data Science for Decision Makers

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A Self-Teaching Introduction

Artificial Intelligence Basics

Frontmatter

CONTENTS

Acknowledgments

1 ARTIFICIAL INTELLIGENCE (AI)

2 PROBLEM REPRESENTATION

3 THE SEARCH PROCESS

4 GAME PLAYING

5 KNOWLEDGE REPRESENTATION

6 EXPERT SYSTEMS

7 LEARNING

8 PROLOG

9 PYTHON

10 ARTIFICIAL INTELLIGENCE MACHINES AND ROBOTICS

REVIEW QUESTIONS

INDEX

Gupta, N.

Mangla, R.

Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modern applications.

Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early...

Format

Artificial Intelligence Basics

A Self-Teaching Introduction

N. Gupta

R. Mangla

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