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Mathematics for Data Science: Managing Data with Linear Algebra, Probability, and Statistics – Neild Thomas – Sprint Book – 2026 – ISBN 978-601-08-4357-8

Mathematics for Data Science: Managing Data with Linear Algebra, Probability, and Statistics
39.99 €
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Mathematics for Data Science: Managing Data with Linear Algebra, Probability, and Statistics
39.99 €
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Master the mathematical framework needed to succeed in data science, machine learning, and statistics. Author Thomas Nield will help you understand disciplines such as calculus, probability theory, linear algebra, and statistics, and learn how to apply them to methods such as linear regression, logistic regression, and neural networks. Along the way, you'll learn about the modern field of data science and how to use this knowledge to maximize your career success.
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