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Learn all of the core mathematical topics that professional software engineers need to know—in a single book!
This book summarizes all the core mathematical topics a typical professional software engineer needs to know. In condensing the various concepts covered in an undergraduate computer science program into a single volume, it provides an excellent starting point for independent study, or a refresher for those who haven’t been in a classroom for years. Early chapters cover preliminary subjects like number representation systems, set theory, and Boolean algebra, followed by a dive into the field of discrete mathematics, including functions, induction proofs, number theory, combinatorics, graphs, and trees. Later sections examine essential topics in probability, statistics, linear algebra, and calculus.
Rather than confine itself to abstract theory, the book focuses on practical applications and numerical methods at the level typically encountered by working software developers. In addition, hands-on code examples in Python and C make the topics concrete.
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Über die Autorin bzw. den Autor
Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, and Strange Code—all published by No Starch Press.
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Math for Programming
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Zustand: New. 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. Bestandsnummer des Verkäufers 1149761480
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Math for Programming
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MATH FOR PROGRAMMING
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Math for Programming
Verlag:
Random House LLC US Apr 2025, 2025
ISBN 10: 171850358X
ISBN 13: 9781718503588
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Taschenbuch. Zustand: Neu. Neuware -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 that will take you from basic coding to serious software development. You'll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Through clear explanations and practical examples, you'll learn to: 475 pp. Englisch. Bestandsnummer des Verkäufers 9781718503588
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Math for Programming
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Random House LLC US Apr 2025, 2025
ISBN 10: 171850358X
ISBN 13: 9781718503588
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Taschenbuch. Zustand: Neu. Neuware -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 that will take you from basic coding to serious software development. You'll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Through clear explanations and practical examples, you'll learn to:Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 475 pp. Englisch. Bestandsnummer des Verkäufers 9781718503588
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Math for Programming
Verlag:
Random House LLC US Apr 2025, 2025
ISBN 10: 171850358X
ISBN 13: 9781718503588
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Taschenbuch
Anbieter: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -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 that will take you from basic coding to serious software development. You'll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.Through clear explanations and practical examples, you'll learn to: 475 pp. Englisch. Bestandsnummer des Verkäufers 9781718503588
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Math For Programming
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No Starch Press,US, 2025
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