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Fundamentals of Predictive Analytics with JMP, by Ron Klimberg, B. D. McCullough
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With the new emphasis on business intelligence, business analytics, and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.
- Sales Rank: #629943 in eBooks
- Published on: 2013-04-04
- Released on: 2013-06-13
- Format: Kindle eBook
Review
Fundamentals of Predictive Analytics with JMP covers all of the JMP features that have provided me aha moments as I've discovered them throughout the years. If I had this text years ago, I could have saved myself the trouble of having to discover them all myself! The text s use of screenshots truly demonstrates that a picture is worth 1,000 words. Its extensive use of the Graph Builder (one of my favorite JMP features) is worth the read alone. This book takes you from the what you learned in basic statistics courses to the how to extract useful knowledge out of your data. --Don Lifke, Master Black Belt, Data Visualization and Discovery
--Don Lifke, Master Black Belt, Data Visualization and Discovery
"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"
"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"
About the Author
Ron Klimberg is professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA. Before joining the faculty in 1997, he was professor at Boston University, an operations research analyst for the Food and Drug Administration, and a consultant. His primary research interests lie in the areas of multiple criteria decision making, DEA, facility location, data visualization and data mining. Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research. He received his PhD from The Johns Hopkins University.
B.D. McCullough is professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Prior to joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research fields include applied econometrics and time series, accuracy of statistical and econometrics software, replicability of research, and data mining. He received his PhD from the University of Texas at Austin.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Great guide for beginners and rusty practitioners.
By R.J. Cavazos
Fundamentals of Predictive Analytics with JMP covers the key concepts extraordinarily well via examples and clever well written explanations. The sections on decision trees and neural networks are especially good and those alone are worth the price of the book. The use of JMPs Graph Builder as well as screenshots makes the text very useful for self teaching and review. The book masterfully strikes the right balance between accessibility for a beginner and thorough enough for an advanced analyst seeking a refresher in key concepts and their deployment with JMP. All in all an excellent book.
4 of 4 people found the following review helpful.
Great beginners book for JMP
By AP
The book is very helpful. Each chapter spends sometime explaining the underlying concepts and the dives into step by step instructions for performing the actions in JMP. The one drawback is that the in chapter file references don't match up 100% to the downloadable content posted by the authors so you have to do some digging around to figure out what sample data file to use if you want to actively follow along. The authors need to go through and match up the downloaded able content as its described in the book.
5 of 8 people found the following review helpful.
Good book but poor electrconic version --Please fix!!!
By Andres Fortino
The table of contents and the start of each chapter is distorted and cannot be used. The kindle version of this book is only 50% useful.
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