Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

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

La gente legge anche