Nelson, Hala

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

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ISBN 13:
9781098107635
author:
Nelson, Hala
format:
Paperback
publisher:
O'Reilly Media
language:
English
Publication Year:
2023
Pages:
602
Dimensions:
23.1 x 17.8 x 3.3 centimetres (0
Genre:
Computers, Computer Science, Natural Language Processing,
Condition:
New
Availability:
Item usually sent within 10 working days
£50.26

Description

For those looking to build successful AI systems, a solid grasp of underlying mathematics is essential. This accessible guide covers the math necessary for thriving in the field, focusing on real-world applications rather than dense academic theory. It explores mathematical topics critical for AI, including regression, neural networks, optimization, and more, through popular applications such as computer vision, natural language processing, and automated systems. Supplementary Jupyter notebooks provide examples with Python code and visualizations, while shedding light on concepts like generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to build upon existing knowledge and adapt mathematical methods to different applications. By gaining mathematical fluency, you'll be able to interpret and explain how AI systems arrive at their decisions, making it an invaluable resource for engineers, data scientists, and anyone looking to deepen their understanding of AI.

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