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Linear Algebra Tools For Data Mining

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;

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Matrix Methods in Data Mining and Pattern Recognition

This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data;

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Applied Linear Algebra

technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across;

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Mathematical Foundations for Data Analysis

Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds;

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Mathematical Foundations for Data Analysis

Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds;

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Linear Algebra and Its Applications with R

This book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These;

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Linear Algebra for the 21st Century

called the jewel in the crown of linear algebra. Linear Algebra for 21st Century Applications adapts linear algebra to best suit modern;

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Linear Algebra for the 21st Century

called the jewel in the crown of linear algebra. Linear Algebra for 21st Century Applications adapts linear algebra to best suit modern;

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Advanced Linear and Matrix Algebra

. Exercises of all levels accompany each section. Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and;

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Statistical Data Mining Using SAS Applications

-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the;

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Introduction To Linear Algebra

Features Includes cutting edge applications in machine learning and data analytics. Suitable as a primary text for;

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Introduction to Linear Algebra

various types of problems for the applications of their interest. This book offers a straightforward introduction to linear algebra that requires;

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Introduction To Non-linear Algebra

This unique text presents the new domain of consistent non-linear counterparts for all basic objects and tools of linear algebra, and;

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Linear Algebra for Pattern Processing

, the role of linear algebra is not merely numerical computation of large-scale vectors and matrices. In fact, data processing is usually;

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Mining Geostatistics

Writing for geologists, mining engineers and metallurgists, Journel (Stanford U.) and Huijbregts (Bureau of Geological Research and Mining;

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Design and Implementation of Data Mining Tools

unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a;

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Design and Implementation of Data Mining Tools

unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a;

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Data Mining Tools for Malware Detection

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level;

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Matrix Algebra for Linear Models

crucial to understanding matrix algebra s application in linear models. Matrix Algebra for Linear Models expertly balances concepts and methods;

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Computationally Intensive Statistics for Intelligent IoT

systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization;

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Principles of Linear Algebra With Maple

book's figures. Extensively class-tested to ensure an accessible presentation, Principles of Linear Algebra with Maple is an excellent book for;

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Linear Algebra and Learning from Data

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Data Mining and Business Analytics with R

and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;

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Mathematical Tools for Data Mining

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics;

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Fundamentals of Communication Systems, Global Edition

systems, satellite communications, and data transmission networks. A background in calculus, linear algebra, basic electronic circuits, linear;

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Mastering Python for Data Science

Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;

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Elementary Linear Algebra, International Metric Edition

ELEMENTARY LINEAR ALGEBRA, 8E, INTERNATIONAL METRIC EDITION's clear, careful, and concise presentation of material helps you fully;

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