£139.99

Springer Novel Deep Learning Methodologies - ICIAM2023 Series 9

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Description

Expand your technical library with Novel Deep Learning Methodologies in Industrial and Applied Mathematics. This volume, part of the ICIAM2023 Springer Series (Volume 9), provides specialized knowledge for professionals and students working within the intersection of computer science and applied mathematics. Published by Springer, this book serves as a dedicated resource for those studying computing and internet technologies. It focuses on the specific methodologies used in deep learning within industrial contexts, making it a valuable addition to any collection centered on computer science. Whether you are researching academic trends or seeking technical insights, this series provides a structured way to engage with recent developments in the field.

Key Features

Part of the recognized ICIAM2023 Springer Series, specifically volume 9.

Focuses on deep learning methodologies within industrial and applied mathematics.

Published by Springer, a leader in academic and technical literature.

Categorized under Computer Science for targeted study and research.

Designed for readers interested in computing and internet technology subjects.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 April 2026
Listed Since
20 June 2025

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No barcode data available

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