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Learn and explore the fundamentals of data analysis with power of Mathematica About This Book * Use the power of Mathematica to;
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of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;
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of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;
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If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science;
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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;
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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;
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/9780521767750 includes Mathematica code from the book, related Mathematica programs, and worked data analysis examples. The textbook addresses;
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, financial analysis, or advanced engineering models, you'll find the recipes in Mathematica Cookbook extremely useful and informative. With key;
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geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular;
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and the analysis of data and encourages the application of these ideas to practical problems. The accompanyingdownloadable resources offer;
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and the analysis of data and encourages the application of these ideas to practical problems. The accompanyingdownloadable resources offer;
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This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build;
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exploring data analysis principles and practice using MATLAB (R), Mathematica, Mathcad, and other modern equation solving software. Part I, for;
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exploring data analysis principles and practice using MATLAB (R), Mathematica, Mathcad, and other modern equation solving software. Part I, for;
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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing;
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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing;
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analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;
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analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;
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Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The;
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Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The;
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Beherrschung des Stoffs gefuhrt. Gegenuber der Vorauflage "Hohere Mathematik mit MATHEMATICA - Band 2: Analysis" wurden die Inhalte zugunsten eines;
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analyze processes in power electronic systems. Electrotechnical Systems: Calculation and Analysis with Mathematica and PSpice explores the;
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Beherrschung des Stoffs geführt.Gegenüber der Vorauflage "Höhere Mathematik mit MATHEMATICA - Band 2: Analysis" wurden die Inhalte zugunsten;
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scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;
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Introduction to Chemical Engineering Analysis Using Mathematica, Second Edition reviews the processes and designs used to manufacture;
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capabilities in the most recent version of Mathematica (10.4). It accommodates the full array of new extensions in the types of data and problems that;
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