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Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the;
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This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the;
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This textbook introduces a science philosophy called information theoretic based on Kullback-Leibler information theory. It focuses on a;
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, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working;
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Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social;
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including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics;
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and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods;
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, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods;
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in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic;
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including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics;
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Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social;
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This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;
Vergelijkbare producten zoals An Information Theoretic Approach to Econometrics
This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;
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illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners;
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professionals working in data science, information systems and networks. Advanced-level students studying computer science, electrical engineering and;
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statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria;
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information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;
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Gain a solid understanding of how information theoretic approaches can inform the design of more secure information systems and networks;
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of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data;
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The second edition of this innovative textbook illustrates research methods for library and information science, describing the most;
Vergelijkbare producten zoals Applications of Social Research Methods to Questions in Information and Library Science
This book constitutes the refereed proceedings of the 9th International Conference on Geographic Information Science, GIScience 2016, held;
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on applications in optical sciences. Symmetry studies connect group theoretic and statistical methods for data summary and inference. Readers;
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The description for this book, Ramification Theoretic Methods in Algebraic Geometry (AM-43), will be forthcoming.;
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>Updated release includes the latest information on Data Science: Theory and Applications;
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Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;
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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A;
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concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as;
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