Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

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Master the mathematical apparatus necessary to excel in the field of data science, machine learning, and statistics. The author Thomas Nield will help you understand disciplines such as mathematical analysis, probability theory, linear algebra, and statistics, and learn how to...

Author: Томас Нилд

Printhouse: Sprint Buk

Series: Бестселлеры O'Reilly

Age restrictions: 16+

Year of publication: 2025

ISBN: 9786010843578

Number of pages: 352

Size: 233х165х18 mm

Cover type: soft

Weight: 553 g

ID: 1688308
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