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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics Front Cover

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

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Linear Algebra, 4th Edition Front Cover

Linear Algebra, 4th Edition

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Lectures on Linear Algebra Front Cover

Lectures on Linear Algebra

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Linear Algebra and Optimization with Applications to Machine Learning: Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning Front Cover

Linear Algebra and Optimization with Applications to Machine Learning: Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning

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Linear Algebra: A Minimal Polynomial Approach to Eigen Theory Front Cover

Linear Algebra: A Minimal Polynomial Approach to Eigen Theory

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Explorations in Numerical Analysis: Python Edition Front Cover

Explorations in Numerical Analysis: Python Edition

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Mathematical Modeling Front Cover

Mathematical Modeling

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Linear Algebra and Optimization for Machine Learning: A Textbook Front Cover

Linear Algebra and Optimization for Machine Learning: A Textbook

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Computational Linear Algebra: with Applications and MATLAB Computations Front Cover

Computational Linear Algebra: with Applications and MATLAB Computations

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Linear Algebra and Group Theory for Physicists and Engineers, 2nd Edition Front Cover

Linear Algebra and Group Theory for Physicists and Engineers, 2nd Edition

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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Front Cover

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

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Calculus and Linear Algebra in Recipes: Terms, phrases and numerous examples in short learning units Front Cover

Calculus and Linear Algebra in Recipes: Terms, phrases and numerous examples in short learning units

Length: 1064 pages
Publication Date: 2022-12-10

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