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Artificial Intelligence Basics
Artificial Intelligence Basics

Artificial Intelligence Basics: A Self-Teaching Introduction

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Profile Icon Mercury Learning and Information Profile Icon R. Mangla Profile Icon N. Gupta
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$9.99 $41.99
eBook Jul 2024 213 pages 1st Edition
eBook
$9.99 $41.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon R. Mangla Profile Icon N. Gupta
Arrow right icon
$9.99 $41.99
eBook Jul 2024 213 pages 1st Edition
eBook
$9.99 $41.99
eBook
$9.99 $41.99

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Key benefits

  • In-depth introduction to AI concepts and applications
  • Practical exercises and review questions for hands-on learning
  • Covers both theoretical foundations and practical programming aspects

Description

This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques. As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology. Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.

Who is this book for?

Ideal for beginners in AI, computer science students, and tech enthusiasts. Prior knowledge of basic programming concepts is helpful but not required. Readers should be familiar with general computer usage and have an interest in AI and machine learning.

What you will learn

  • Understand the fundamentals of AI
  • Learn problem representation techniques
  • Explore search processes
  • Study game-playing algorithms
  • Grasp knowledge representation methods
  • Get introduced to Prolog and Python for AI

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 23, 2024
Length: 213 pages
Edition : 1st
Language : English
ISBN-13 : 9781836641049
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Product Details

Publication date : Jul 23, 2024
Length: 213 pages
Edition : 1st
Language : English
ISBN-13 : 9781836641049
Category :

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Table of Contents

17 Chapters
Cover Page Chevron down icon Chevron up icon
Title Page Chevron down icon Chevron up icon
Copyright Chevron down icon Chevron up icon
Contents Chevron down icon Chevron up icon
Acknowledgments Chevron down icon Chevron up icon
1 Artificial Intelligence (AI) Chevron down icon Chevron up icon
2 Problem Representation Chevron down icon Chevron up icon
3 The Search Process Chevron down icon Chevron up icon
4 Game Playing Chevron down icon Chevron up icon
5 Knowledge Representation Chevron down icon Chevron up icon
6 Expert Systems Chevron down icon Chevron up icon
7 Learning Chevron down icon Chevron up icon
8 Prolog Chevron down icon Chevron up icon
9 Python Chevron down icon Chevron up icon
10 Artificial Intelligence Machines and Robotics Chevron down icon Chevron up icon
Review Questions Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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