Fundamentals of Predictive Analytics with JMP, Third Edition

Ron Klimberg

ISBN 10: 1685800270 / ISBN 13: 9781685800277

Published by SAS Institute Apr 2023, 2023

About this Item

Neuware - Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis.

Seller Inventory # 9781685800277

Bibliographic Details

• Title: Fundamentals of Predictive Analytics with JMP, Third Edition
• Publisher: SAS Institute Apr 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1685800270
• ISBN 13: 9781685800277
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 233W x 190H x 27D millimeters 233 millimeters width by 190 millimeters height by 27 millimeters depth
• Weight: 848 grams

About this title

Synopsis

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis.

Using JMP® 17, this book discusses the following new and enhanced features in an example-driven format:

• an add-in for Microsoft Excel
• Graph Builder
• dirty data
• visualization
• regression
• ANOVA
• logistic regression
• principal component analysis
• LASSO
• elastic net
• cluster analysis
• decision trees
• k-nearest neighbors
• neural networks
• bootstrap forests
• boosted trees
• text mining
• association rules
• model comparison
• time series forecasting

With a new, expansive chapter on time series forecasting and more exercises to test your skills, this third edition is invaluable to those who need to expand their knowledge of statistics and apply real-world, problem-solving analysis.