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Information-Theoretic Methods in Data Science

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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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the;

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Model Based Inference in the Life Sciences: A Primer on Evidence

This textbook introduces a science philosophy called information theoretic based on Kullback-Leibler information theory. It focuses on a;

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Granular Video Computing

, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working;

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Set Theoretic Methods For Social Science

Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics;

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Data Analysis In Forensic Science

and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods;

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Principles and Methods for Data Science

, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods;

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Information Theoretic Neural Computation

in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics;

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Set-Theoretic Methods for the Social Sciences

Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social;

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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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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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Why AI/Data Science Projects Fail

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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Mathematical Problems in Data Science

professionals working in data science, information systems and networks. Advanced-level students studying computer science, electrical engineering and;

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Statistical Methods For Speech Recogniti

statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria;

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Data Science and Its Applications

information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;

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Information Theoretic Security and Privacy of Information Systems

Gain a solid understanding of how information theoretic approaches can inform the design of more secure information systems and networks;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

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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Applications of Social Research Methods to Questions in Information and Library Science

The second edition of this innovative textbook illustrates research methods for library and information science, describing the most;

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Geographic Information Science

This book constitutes the refereed proceedings of the 9th International Conference on Geographic Information Science, GIScience 2016, held;

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Symmetry in Optics and Vision Studies

on applications in optical sciences. Symmetry studies connect group theoretic and statistical methods for data summary and inference. Readers;

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Ramification Theoretic Methods in Algebraic Geometry (AM-43), Volume 43

The description for this book, Ramification Theoretic Methods in Algebraic Geometry (AM-43), will be forthcoming.;

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Data Science: Theory and Applications

>Updated release includes the latest information on Data Science: Theory and Applications;

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Information-Theoretic Aspects of Neural Networks

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;

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Big Data and Social Science

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A;

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Data Science

concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as;

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