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Chapman and Hall/CRC Mathematical Foundations for Deep Learning

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Description

Bridge the gap between theoretical mathematics and practical artificial intelligence applications with this comprehensive guide from Chapman and Hall/CRC. This book explores the fundamental mathematical concepts that drive modern deep learning, providing the necessary tools to succeed in the fast-moving AI field. Designed for a wide range of learners, from beginners to experts, the text makes complex mathematical ideas accessible. Through clear explanations, real-world examples, and targeted exercises, readers can master core concepts in linear algebra and other essential topics. This resource is an ideal choice for those looking to build a strong mathematical foundation for their work in artificial intelligence.

Key Features

This Chapman and Hall/CRC book connects theoretical mathematics to practical AI applications.

The guide covers fundamental mathematical concepts required for modern deep learning success.

Readers can master core concepts in linear algebra through clear explanations and examples.

The content is designed for all skill levels, ranging from beginners to experts.

Targeted exercises and real-world examples help reinforce mathematical knowledge for AI.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 August 2025
Listed Since
07 February 2025

Barcode

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