Mathematical Methods in Data Science

Language: English

Published by Cambridge University Press, GB, 2025

1009509454 / 9781009509459

Series: Book 23 of 24 - Cambridge Mathematical Textbooks

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Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, calculus and optimization, and probability and statistics, demonstrating their relevance in the context of data analysis. Key application topics include clustering, regression, classification, dimensionality reduction, network analysis, and neural networks. What sets this text apart is its focus on hands-on learning. Each chapter combines mathematical insights with practical examples, using Python to implement algorithms and solve problems. Self-assessment quizzes, warm-up exercises and theoretical problems foster both mathematical understanding and computational skills. Designed for advanced undergraduate students and beginning graduate students, this textbook serves as both an invitation to data science for mathematics majors and as a deeper excursion into mathematics for data science students.…

Seller Inventory # LU-9781009509459

Title
Mathematical Methods in Data Science
Author
Sébastien Roch
Publisher
Cambridge University Press, GB
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
1009509454
ISBN 13
9781009509459
Item weight
1,345 grams
Series
Book 23 of 24: Cambridge Mathematical Textbooks

Rarewaves.com USA

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