£160.00

Chapman and Hall/CRC Mathematical Foundations of Deep Learning

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Description

Expand your technical knowledge with Mathematical Foundations of Deep Learning: Theory and Algorithms. Part of the Chapman and Hall/CRC Mathematics and Artificial Intelligence Series, this book provides a structured approach to the core principles of deep learning. Designed for readers interested in the intersection of mathematics and artificial intelligence, this text covers the essential theory and algorithms that drive modern machine learning models. By focusing on the mathematical structures behind these technologies, the book helps build a strong academic and practical foundation. Whether you are a student or a professional in the field of computer science, this resource offers a specialized perspective on the complex logic used in AI development. It is a valuable addition to any technical library focused on computing and internet technologies.

Key Features

Part of the respected Chapman and Hall/CRC Mathematics and Artificial Intelligence Series for specialized learning.

Covers the essential theory and algorithms required to understand modern deep learning processes.

Provides a strong foundation in the mathematical principles used in artificial intelligence.

Focused on the core concepts of machine learning and computer science theory.

A technical resource designed for those studying advanced computing and internet technologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 August 2026
Listed Since
04 February 2026

Barcode

No barcode data available

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