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

Steven Simske
4.9/5 (21355 ratings)
Description: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 tasksEnables rapid progress towards competency in data analysis techniquesGives exhaustive and widely applicable patterns for use by data scientistsCovers hybrid or 'meta' approaches, along with general analyticsLays out information and practical guidance on data analysis for practitioners working across all sectorsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis. To get started finding Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0128146230

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

Steven Simske
4.4/5 (1290744 ratings)
Description: 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 tasksEnables rapid progress towards competency in data analysis techniquesGives exhaustive and widely applicable patterns for use by data scientistsCovers hybrid or 'meta' approaches, along with general analyticsLays out information and practical guidance on data analysis for practitioners working across all sectorsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis. To get started finding Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0128146230

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