23,99 €
Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.
As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law.
By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
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Seitenzahl: 307
Develop real-world applications powered by the latest AI advances
Zsolt Nagy
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.
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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
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This section briefly introduces the author, what the book covers, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises.
1
By the end of this chapter, you will be able to:
Describe the various fields of AIExplain the main learning models used in AIExplain why Python is a popular language for AI projectsModel the state space in AI for a given gameIn this chapter, you will learn about the purpose, fields, and applications of AI, coupled with a short summary of the features we'll use in Python.