Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis


Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis
By 作者: Steven Simske
ISBN-10 书号: 0128146230
ISBN-13 书号: 9780128146231
Edition 版本: 1
Release Finelybook 出版日期: 2019-03-27
pages 页数: (340 )

Book Description to Finelybook sorting

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.
Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.

Provides comprehensive and systematic coverage of machine learning-based data analysis tasks
Enables rapid progress towards competency in data analysis techniques
Gives exhaustive and widely applicable patterns for use by data scientists
Covers hybrid or ‘meta’ approaches, along with general analytics
Lays out information and practical guidance on data analysis for practitioners working across all sectors

Contents


Copyright
Dedication
Acknowledgments
Chapter 1:Introduction,overview,and applications
Chapter 2:Ground truthing
Chapter 3:Experimental design
Chapter 4:Meta-analytic design patterns
Chapter 5:Sensitivity analysis and big system engineering
Chapter 6:Multipatch predictive selection
Chapter 7:Modeling and model fitting
Chapter 8:Synonym-antonym and reinforce-void patterns
Chapter 9:Analytics around analytics
Chapter 10:System design optimization
Chapter 11:Aleatory and expert system techniques
Chapter 12:Application l:Topics and challenges in machine translation,robotics,and biological sciences
Chapter 13:Application I:Medical and health-care informatics,economics,business,and finance
Chapter 14:Discussion,conclusions,and the future of data
Index

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