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Math for Programming

Math for Programming - Paperback

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Availability:In StockContributor:Ronald T. KneuselPublish date:2025-04-22Pages:504
Language:EnglishPublisher:No Starch PressISBN-13:9781718503588ISBN-10:171850358XUPC:9781718503588Book Category:Computers, MathematicsBook Subcategory:Computer Science, Discrete Mathematics, LanguagesBook Topic:PythonSize:9.20 x 7.00 x 1.20 inchesWeight:2.101Product ID:SC9N0YPCTC

Math for Programming

A one-stop-shop for all the math you should have learned for your programming career.

Every great programming challenge has mathematical principles at its heart. Whether you're optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.

In Math for Programming, you'll master the essential mathematics...
Language:EnglishPublisher:No Starch PressISBN-13:9781718503588ISBN-10:171850358XUPC:9781718503588Book Category:Computers, MathematicsBook Subcategory:Computer Science, Discrete Mathematics, LanguagesBook Topic:PythonSize:9.20 x 7.00 x 1.20 inchesWeight:2.101Product ID:SC9N0YPCTC
Ronald T. Kneusel has been working with machine learning in industry since 2003 and has a PhD in machine learning from the University of Colorado, Boulder. Kneusel is the author of Practical Deep Learning, Math for Deep Learning, The Art of Randomness, How AI Works, and Strange Code (all from No Starch Press), as well as Numbers and Computers and Random Numbers and Computers (Springer).
Publisher: No Starch Press

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