Handbook of Statistical Analysis and Data Mining Applications
Nisbet, Robert
Handbook of Statistical Analysis and Data Mining Applications ['Nisbet, Robert'] - p.
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 areas?from science and engineering, to medicine, academia and commerce.Includes input by practitioners for practitionersIncludes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build modelsContains practical advice from successful real-world implementationsBrings 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 solutionsFeatures clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
9780124166325
Handbook of Statistical Analysis and Data Mining Applications ['Nisbet, Robert'] - p.
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 areas?from science and engineering, to medicine, academia and commerce.Includes input by practitioners for practitionersIncludes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build modelsContains practical advice from successful real-world implementationsBrings 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 solutionsFeatures clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
9780124166325
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