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Part 1 Introduction Chapter 1 Introduction Overview Analytics Is Hot! What You Will Learn Analytics and Data Mining How the Book Is Organized Let’s Get Started References Chapter 2 An Overview of the Business Analytics Process Introduction Commonly Used Process Models The Business Analytics Process Define the Problem Prepare for Modeling Modeling Deploy Model Monitor Performance Conclusion References Other brand and product names are trademarks of their respective companies.Ĭontents Acknowledgments About This Book About These Authors product or service names are registered trademarks or trademarks of SAS Institute Inc. SAS Institute Inc., SAS Campus Drive, Cary, NC 27513-2414 August 2015 SAS® and all other SAS Institute Inc.
#Sas jmp license columbia software
The Government’s rights in Software and documentation shall be only those set forth in this Agreement. If FAR 52.227-19 is applicable, this provision serves as notice under clause (c) thereof and no other notice is required to be affixed to the Software or documentation. federal law, the minimum restricted rights as set out in FAR 52.227-19 (DEC 2007). Use, duplication, or disclosure of the Software by the United States Government is subject to the license terms of this Agreement pursuant to, as applicable, FAR 12.212, DFAR 227.7202-1(a), DFAR 227.7202-3(a), and DFAR 227.7202-4, and, to the extent required under U.S. Government License Rights Restricted Rights: The Software and its documentation is commercial computer software developed at private expense and is provided with RESTRICTED RIGHTS to the United States Government. Your support of others’ rights is appreciated. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted materials. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. For a hard copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. Produced in the United States of America.
#Sas jmp license columbia manual
The correct bibliographic citation for this manual is as follows: Grayson, Jim, Gardner, Sam, and Stephens, Mia.
#Sas jmp license columbia pro
Make more informed decisions from your data using this newest JMP book.īuilding Better Models with JMP Pro Jim Grayson
#Sas jmp license columbia full
Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects.
Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. It gives you the "what, why, and how" of using JMP Pro for building and applying analytic models. Building Better Models with JMP Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts.
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