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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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The Algebra of Data

when mathematical research into data algebra--carried out for Algebraix Data Corporation by one of the authors of this book--matured and;

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Algebra

algebra and geometry, shows the progress of thought throughout the centuries, and offers biographical data on the key figures. Concise 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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Introduction To Linear Algebra

undergraduates studying linear algebra. Requires very little in the way of pre-requisites.;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Functions, Data, and Models

This is a college algebra-level textbook written to provide the kind of mathematical knowledge and experiences that students will need for;

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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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Analysis of Min-Plus Algebra

in computer networks. The key contribution of this book is to discuss the analytical expressions of identity in min-plus algebra. Overall, this book;

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Numerical Polynomial Algebra

-life phenomena; yet most of classical computer algebra assumes exact rational data. This book is the first comprehensive treatment of numerical;

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Applied Algebra

presents practical methods for solving problems in data security and data integrity. It is designed for an applied algebra course for students who;

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Geometric Algebra With Applications In Engineering

The application of geometric algebra to the engineering sciences is a young, active subject of research. The promise of this field is that;

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Intermediate Algebra

Larson IS student success. INTERMEDIATE ALGEBRA: ALGEBRA WITHIN REACH owes its success to the hallmark features for which the Larson team;

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Intermediate Algebra

Larson IS student success. INTERMEDIATE ALGEBRA: ALGEBRA WITHIN REACH, 6E, International Edition owes its success to the hallmark features;

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Introduction to Applied Linear Algebra

teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least;

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Computer Algebra

The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students;

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Computer Algebra

The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students;

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Atmospheric Satellite Observations

assimilation. Topics covered include linear algebra, frequently used statistical methods, the interpolation role of function fitting, filtering when;

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Elementary Algebra, International Edition

Larson IS student success! ELEMENTARY ALGEBRA: ALGEBRA WITHIN REACH, 6E, International Edition owes its success to the hallmark features;

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Symmetry in Optics and Vision Studies

: Demonstrates the usefulness of a unified view of algebra and symmetry studies to address data-analytic questions in optics and vision science;

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Linear Algebra and Learning from Data

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Theory and Computation of Tensors

on matrices. Data in the Big Data Era is not only growing larger but also becoming much more complicated. Tensors (multi-dimensional arrays;

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Countdown To Mathematics Volume 1

of Modules 1-4 and concentrates on basic mathematical skills. It deals with arithmetic, simple algebra, how to plot and read graphs, and the;

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Countdown To Mathematics Volume 2

of Modules 1-4 and concentrates on basic mathematical skills. It deals with arithmetic, simple algebra, how to plot and read graphs, and the;

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Statistics and Data Analysis for Financial Engineering

have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative;

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Data Analysis For Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;

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