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The Calculus of Data: A Rigorous Pythonic Primer
Hardcover
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9783032400604
Publisher: Springer
Published: Feb 24 2027
Pages: 478
Language: English
This book provides an essential guide for data science and machine learning practitioners looking to deepen their understanding of abstract mathematical concepts and bridge the gap between coding and theoretical research. By combining mathematical rigor with practical, programmable examples, it transforms complex ideas--such as groups, manifolds, and quotient spaces--into accessible computational frameworks. Perfect for emerging data scientists and engineers, this book empowers readers to move beyond simply using AI tools and equips them with the knowledge to fundamentally understand the principles that shape them.
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