Klimberg Ron. Fundamentals of Predictive Analytics with JMP

3rd Edition. — SAS Institute Inc., 2023. — 494 p. — ISBN: 978-1-68580-003-1.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 the 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.The software used in many initial statistics courses is Microsoft Excel, which is easily accessible and provides some basic statistical capabilities. However, as you advance through the course, because of Excel’s statistical limitations, you might also use some nonprofessional, textbook-specific statistical software or perhaps some professional statistical software. Excel is not a professional statistics software application; it is a spreadsheet.The software used in many initial statistics courses is Microsoft Excel, which is easily accessible and provides some basic statistical capabilities. However, as you advance through the course, because of Excel’s statistical limitations, you might also use some nonprofessional, textbook-specific statistical software or perhaps some professional statistical software. Excel is not a professional statistics software application; it is a spreadsheet.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.