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Linear Algebra in Data Science

Peter Zizler , Roberta LaHaye , Roberta La Haye

15 mai 2024

65,95 $

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Description

Langue

anglais

Pages

199

Compact Textbooks in Mathematics

Publié par: Springer/Sci-Tech/Trade

Dimensions à l’expédition: 9" H x 6" W x 1" L

ISBN: 9783031549076

Linear Algebra in Data Science

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A Course in Linear Algebra

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Linear Algebra For Data Science

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Linear Algebra with Mathematica: An Introduction Using Mathematica

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An Introduction to Probabilistic Modeling

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A First Course in Linear Algebra

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Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimization Techniques, and More

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Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimization Techniques, and More

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Introduction to Discrete Event Systems

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A First Course in Linear Algebra

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A Mathematical Introduction to Fluid Mechanics

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Geometric and Algebraic Structures in Differential Equations

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Introduction to Arithmetic Theory of Automorphic Functions

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Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis

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Complex Functions: An Algebraic and Geometric Viewpoint

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Introduction To Probability: Multivariate Models And Applications

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Complex Algebraic Surfaces

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Introduction to Abstract Algebra

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Évaluation éditoriale

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Invitation to Linear Algebra

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Discrete Mathematics with Coding

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Linear Algebra With Machine Learning and Data

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Introduction To Algebraic Topology

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Classical Vector Algebra

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Applied Linear Algebra And Matrix Analysis

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Fundamentals of Abstract Algebra

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Application-inspired Linear Algebra

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Topics in Quaternion Linear Algebra

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Analysis In Euclidean Space

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Convex Analysis

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Calculus With Vectors

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Numerical Analysis and Scientific Computation

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Complex Analysis With Applications

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Linear Algebra in Data Science

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