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Foundations of Data Science

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high;

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Mathematical Foundations of Data Science Using R

worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery;

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Foundations of Algorithm Design and Analysis

algorithms often pose a challenging mathematical problem because their analysis uses deep mathematical results from different fields. Thus the modern;

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Mathematical Software -- ICMS 2016

mathematical reasoning; information services for mathematics: software, services, models, and data; semDML: towards a semantic layer of a world digital;

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Mathematical Foundations for Data Analysis

needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine;

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Mathematical Foundations for Data Analysis

needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection;

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Data Analysis from Statistical Foundations

Data Analysis from Statistical Foundations;

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Graph-Based Social Media Analysis

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction;

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Foundations of Time Series Analysis and Prediction Theory

This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and;

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Statistical Methods for Fuzzy Data

-priori information. Key Features: * Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that;

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Mathematical Foundations of Data Science Using R

scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data;

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Mathematics of Big Data

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today;

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Mathematical Modeling of Pharmacokinetic Data

A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book contains valuable methods for maximizing the;

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Transactions on Rough Sets XIII

, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume;

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Structural Analysis in the Social Sciences

mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text;

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Pattern Recognition

, statistical data analysis and models, computational photography and confluence of vision and graphics, and applications in natural sciences;

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Numerical Analysis

racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies;

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Fundamentals Of Nuclear Models

This book reviews the basic models and theories of nuclear structure and gives an in-depth analysis of their experimental and mathematical;

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Data Flow Analysis

Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to;

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Concept Lattices and Their Applications

carefully reviewed and selected from 41 submissions. The topics include formal concept analysis, foundations of FCA, mathematical structures related;

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Even You Can Learn Statistics and Analytics

and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because;

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Mathematical Foundations of Computer Science 2006: 31st International Symposium, Mfcs 2006, Stará Lesná, Slovakia, August 28-September 1, 2006, Procee

in theoretical computer science and its mathematical foundations are addressed, from algorithms and data structures, to complexity, automata, semantics;

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Mathematical Analysis For Machine Learning And Data Mining

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The;

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Advanced Data Analysis and Modelling in Chemical Engineering

Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical;

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Geometric and Topological Inference

field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book;

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