Hands-On Unsupervised Learning Using Python_ How to Build Applied Machine Learning Solutions from Unlabeled Data_Ankur A. Patel.pdf

Hands-On Unsupervised Learning Using Python How to Build Applied Machine Learning Solutions from Unlabeled Data Ankur A. Patel Hands-On Unsupervised Learning Using Python by Ankur A. Patel Copyright © 2019 Human AI Collaboration, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Development Editor: Michele Cronin Acquisition Editor: Jonathan Hassell Production Editor: Katherine Tozer Copyeditor: Jasmine Kwityn Proofreader: Christina Edwards Indexer: Judith McConville Interior Designer: David Futato Cover Designer: Karen Montgomery Illustrator: Rebecca Demarest February 2019: First Edition Revision History for the First Edition 2019-02-21: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781492035640 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Hands-On Unsupervised Learning Using Python, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. The views expressed in this work are those of the author, and do not represent the publisher’s views. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaims all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it