Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems

Hala Nelson

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Language: English

Published by O'reilly Media Dez 2022, 2022

1098107632 / 9781098107635

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9781098107635

Title
Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems
Author
Hala Nelson
Publisher
O'reilly Media Dez 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1098107632
ISBN 13
9781098107635
Item weight
1,024 grams
Dimensions
232x174x33 mm

AHA-BUCH GmbH

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