Handbook of Statistical Analysis
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Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages of data analysis, model building and implementation, and useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers and researchers in academia and industry. The valuable resource helps readers understand technical and business problems, weigh the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.This resource is an ideal guide for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real problems. Offers valuable tutorials and step-by-step instruction on how to use supplied tools to build models 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 Contains practical advice from successful real-world implementations
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Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages of data analysis, model building and implementation, and useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers and researchers in academia and industry. The valuable resource helps readers understand technical and business problems, weigh the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.This resource is an ideal guide for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real problems. Offers valuable tutorials and step-by-step instruction on how to use supplied tools to build models 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 Contains practical advice from successful real-world implementations
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