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Artificial Intelligence and Machine Learning Fundamentals
Develop real-world applications powered by the latest AI advances
Zsolt Nagy
Artificial Intelligence and Machine Learning Fundamentals
Copyright © 2018 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Author: Zsolt Nagy
Reviewer: Richard Ackon
Managing Editor: Steffi Monteiro
Acquisitions Editor: Koushik Sen
Production Editor: Nitesh Thakur
Editorial Board: David Barnes, Ewan Buckingham, Simon Cox, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Saman Siddiqui, Erol Staveley, Ankita Thakur, and Mohita Vyas.
First published: December 2018
Production reference: 1071218
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
ISBN 978-1-78980-165-1
Table of Contents
Preface i
Principles of Artificial Intelligence 1
Introduction 2
How does AI Solve Real World Problems? 2
Diversity of Disciplines 3
Fields and Applications of Artificial Intelligence 4
Simulating Intelligence – The Turing Test 7
AI Tools and Learning Models 7
Classification and Prediction 8
Learning Models 8
The Role of Python in Artificial Intelligence 9
Why is Python Dominant in Machine Learning, Data Science, and AI? 9
Anaconda in Python 10
Python Libraries for Artificial Intelligence 11
A Brief Introduction to the NumPy Library 12
Exercise 1: Matrix Operations Using NumPy 14
Python for Game AI 16
Intelligent Agents in Games 16
Breadth First Search and Depth First Search 17
Exploring the State Space of a Game 20
Exercis ............

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