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" Read more About the Author Ron Klimberg is a professor at the Haub School of Business at Saint Joseph’s University in Philadelphia, PA. Before joining the faculty in 1997, he was a 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. Read more
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