Verlag: O'Reilly Media (edition 1), 2023
ISBN 10: 1098107632 ISBN 13: 9781098107635
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: As New. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: O'Reilly Media (edition 1), 2023
ISBN 10: 1098107632 ISBN 13: 9781098107635
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 41,71
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den WarenkorbZustand: New. Über den AutorHala Nelson is an Associate Professor of Mathematics at James Madison University. She has a Ph.D. in mathematics from the Courant Institute of Mathematical Sciences at New York University. Prior to James Madison Univer.
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In den WarenkorbZustand: New. In.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter not Elektronisches Buch shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 425 pages. 9.19x7.00x1.30 inches. In Stock.