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Predictive Modeling With Sas Enterprise Miner: Practical Solutions For Business Applications, Third Edition,Used
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A stepbystep guide to predictive modeling!Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series.Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data.Develop predictive models quickly, learn how to test numerous models and compare the results, gain an indepth understanding of predictive models and multivariate methods, and discover how to do indepth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner!
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book contains five hundred seventy-four pages. It provides comprehensive coverage of predictive modeling techniques.
- Q: What are the dimensions of this book? A: The book measures eight and a half inches in length, one point twenty-six inches in width, and eleven inches in height. Its size makes it easy to handle and read.
- Q: What type of binding does this book have? A: This book is bound in hardcover. Hardcover books are durable and suitable for long-term use.
- Q: What topics are covered in this book? A: The book covers various topics, including logistic regression, decision trees, and neural networks. It is designed to be practical for business applications.
- Q: Who is the author of this book? A: The author is Kattamuri Sarma, who holds a Ph.D. He is known for his expertise in predictive modeling.
- Q: What is the reading level of this book? A: This book is suitable for readers at various levels, including business analysts, students, and data scientists. It explains complex concepts in an accessible manner.
- Q: How do I apply the concepts from this book? A: You can apply the concepts by following the step-by-step guides provided in the book. Each chapter includes practical examples to help you implement predictive modeling.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It breaks down complex methods into understandable sections for readers from different backgrounds.
- Q: Can I use this book for self-study? A: Yes, this book is excellent for self-study. It provides practical solutions and examples that reinforce learning.
- Q: How should I store this book? A: Store this book in a cool, dry place, standing upright. This will help maintain its condition over time.
- Q: How do I keep this book in good condition? A: To keep this book in good condition, avoid exposing it to direct sunlight or moisture. Handle it gently to prevent wear.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for a return or exchange. Most sellers offer a return policy for such issues.
- Q: Is there a warranty for this book? A: Typically, books do not come with a warranty. However, you can check with the seller for any specific policies.
- Q: What if I have questions while reading? A: If you have questions while reading, consider looking for online forums or study groups related to predictive modeling. These can provide additional support.
- Q: Can I use this book for professional development? A: Yes, this book is suitable for professional development. It equips readers with valuable skills in predictive modeling applicable in various industries.
- Q: Is this book good for academic use? A: Yes, this book is appropriate for academic use. It provides a thorough understanding of predictive modeling methods that can enhance your studies.