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Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool;

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Handbook of Applied System Science

organized around health and human development, environment and sustainability, and communities and social change Includes agent;

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Statistics for Data Scientists

students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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The The Applied Data Science Workshop

understand how data science can be applied to solve real-world data problems. Key Features Gain useful insights into data science and machine;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Statistics for Data Science and Policy Analysis

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading;

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Computer Science in Sport

and database development data acquisition, including devices for measuring performance data motion tracking and analysis;

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Computer Science in Sport

and database development data acquisition, including devices for measuring performance data motion tracking and analysis;

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Compositional Data Analysis in Practice

introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour;

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Compositional Data Analysis in Practice

introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Applied Polymer Science

chapters are devoted to thermal analysis, microscopy, spectroscopy, scattering methods, and chromatography. Special problems and pitfalls related;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to;

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Data Engineering and Communication Technology

paradigms in system knowledge, intelligence and sustainability which can be applied to provide viable solutions to diverse problems related to;

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Sustainability, Growth, and Globalization

Over the past decade the notion of sustainability has emerged as a precept that has been applied to government, commerce, the environment;

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Sustainability, Growth, and Globalization

Over the past decade the notion of sustainability has emerged as a precept that has been applied to government, commerce, the environment;

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Fundamentals of Data Analytics

and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral;

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Fundamentals of Data Analytics

and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral;

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Advanced Studies in Classification and Data Science

of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data;

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