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clustering Who This Book Is For Data scientists new to using Wolfram and Mathematica as a language/tool to program in. Programmers should have;
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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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This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build;
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For more than 30 years, Mathematica has been the principal computation environment for millions of innovators, educators, students and;
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data visualization, or just want to play around with math in a visual way, Mathematica Cookbook is ideal for professionals and hobbyists from;
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Mathematica Book is a must-have purchase for anyone who wants to understand the opportunities in science, technology, business, and education made;
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The unique feature of this compact student's introduction to Mathematica (R) and the Wolfram Language (TM) is that the order of the;
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The Wolfram language is the programming language of Mathematica, used increasingly by scientists due to its ease of learning and user;
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capabilities added to the latest version of Mathematica (version 13), and discusses new topics related to machine learning, big data, finance economics;
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This book provides ideas for implementing Wolfram Mathematica to solve linear integral equations. The book introduces necessary theoretical;
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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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Feagin's book was the first publication dealing with Quantum Mechanics using Mathematica, the popular software distributed by Wolfram;
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users of Mathematica in research and education. It gathers research papers, reports on classroom practice, reports on the use of Mathematica;
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ideal for self-study and as an introduction to researchers who wish to use Mathematica as a computational tool. Mathematica(R): A Problem;
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will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural;
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in Mathematica * Classify data and partition them into clusters * Recognize faces, objects, text, and barcodes * Use Mathematica functions for time;
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using the Mathematica software. It is written by an expert in the field, himself an employee of Wolfram Research, Inc., the creators and;
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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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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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Commandline Develop programs with the Wolfram Language and Mathematica Who This Book Is For Students and hobbyists interested in programming;
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everything you need to know to begin using Mathematica to do all these things and more. Written for Mathematica Version 3, this book can also be used;
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Wolfram|Alpha Notebook Edition combines the simplicity of Wolfram|Alpha with the computational capabilities of Mathematica for the best;
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designed to teach readers how to understand and present data in today's increasingly data-driven world. The Wolfram Language represents a;
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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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of Mathematica that allows the reader to solve problems in physics, mathematics, and chemistry. Mathematica is the most widely used system for doing;
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