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developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis;
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This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data;
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This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data;
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approaches for extracting information from structural data, and advanced techniques for multiscale analysis. What makes networks complex;
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This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;
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This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;
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for improvement Complex industrial projects from around the world provide a solid basis for quantitative analysis of outcomes and the PMs who;
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Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream;
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Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream;
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perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make;
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perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make;
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Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;
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, and data science. It represents the paradigm shift of genetic studies of complex diseases- from shallow to deep genomic analysis, from low;
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researchers needing a guide to new methods. A completely revised and updated edition of this popular introduction to data analysis in vegetation;
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analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning;
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, heuristics are indispensable and often more accurate than complex methods. Contrary to a deeply entrenched belief, complex problems do not;
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Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis: A Practical Guide to Comparative Case Studies and;
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for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading;
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component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis;
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with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For If you are a;
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Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical;
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Choice, Rationality and Social Theory is a powerful rebuttal of the remarkably influential theories underlying 'rational choice analysis;
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Choice, Rationality and Social Theory is a powerful rebuttal of the remarkably influential theories underlying 'rational choice analysis;
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A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural;
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Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis;
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Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis;
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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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