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Handbook Of Statistical Analysis And Data Mining Applications
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Handbook Of Statistical Analysis And Data Mining Applications, Second Edition, Is A Comprehensive Professional Reference Book That Guides Business Analysts, Scientists, Engineers And Researchers, Both Academic And Industrial, Through All Stages Of Data Analysis, Model Building And Implementation. The Handbook Helps Users Discern Technical And Business Problems, Understand The Strengths And Weaknesses Of Modern Data Mining Algorithms And Employ The Right Statistical Methods For Practical Application.This Book Is An Ideal Reference For Users Who Want To Address Massive And Complex Datasets With Novel Statistical Approaches And Be Able To Objectively Evaluate Analyses And Solutions. It Has Clear, Intuitive Explanations Of The Principles And Tools For Solving Problems Using Modern Analytic Techniques And Discusses Their Application To Real Problems In Ways Accessible And Beneficial To Practitioners Across Several Areasfrom Science And Engineering, To Medicine, Academia And Commerce. Includes Input By Practitioners For Practitioners Includes Tutorials In Numerous Fields Of Study That Provide Stepbystep Instruction On How To Use Supplied Tools To Build Models Contains Practical Advice From Successful Realworld Implementations Brings Together, In A Single Resource, All The Information A Beginner Needs To Understand The Tools And Issues In Data Mining To Build Successful Data Mining Solutions Features Clear, Intuitive Explanations Of Novel Analytical Tools And Techniques, And Their Practical Applications
⚠️ 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 the book have? A: The book has eight hundred twenty-two pages. This extensive length allows for in-depth exploration of statistical analysis and data mining techniques.
- Q: What is the binding type of the book? A: The book is hardcover. This durable binding is ideal for frequent use and ensures longevity.
- Q: What are the dimensions of the book? A: The book measures seven point seventy-six inches in length, one point eighty inches in width, and nine point forty-nine inches in height. These dimensions make it a substantial yet manageable reference.
- Q: Who is the author of the book? A: The author is Ken Yale. His expertise in statistical analysis and data mining lends credibility to the content.
- Q: What category does this book fall under? A: This book falls under the Data Mining category. It serves as a comprehensive guide for various professionals in the field.
- Q: What type of audience is this book suitable for? A: This book is suitable for business analysts, scientists, engineers, and researchers. It caters to both academic and industrial audiences.
- Q: Does this book include tutorials? A: Yes, the book includes tutorials across various fields of study. These step-by-step instructions help readers effectively utilize the provided tools.
- Q: Can beginners understand the content of this book? A: Yes, beginners can understand the content. The book features clear, intuitive explanations that simplify complex concepts.
- Q: Is there practical advice in the book? A: Yes, the book contains practical advice from real-world implementations. This guidance is invaluable for applying statistical methods effectively.
- Q: How should I care for this book? A: To care for the book, keep it in a dry place and avoid exposure to direct sunlight. This will help maintain its condition over time.
- Q: Is this book safe to store alongside other reference materials? A: Yes, it is safe to store this book alongside other reference materials. Just ensure it is kept on a stable shelf to prevent damage.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller for a return or exchange. Most retailers have policies to address such issues.
- Q: What if I have trouble understanding a concept in the book? A: If you have trouble understanding a concept, consider seeking additional resources or online forums for clarification. The book is designed to be accessible.
- Q: Can this book help me with complex datasets? A: Yes, this book is designed to help users address massive and complex datasets. It provides novel statistical approaches for analysis.
- Q: Is this book appropriate for academic use? A: Yes, the book is appropriate for academic use. It serves as a comprehensive reference for students and professionals alike.