£127.93

De Gruyter Computational Optimization: Machine Learning Book

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Description

Expand your knowledge of modern mathematical methods with Computational Optimization: Machine Learning and Fuzzy Systems. Published by De Gruyter as part of the Mathematical Methods in the Digital Age series, this book provides a focused look at the intersection of machine learning and fuzzy systems. This academic resource is designed for readers interested in the evolving landscape of computer science and AI. By exploring computational optimization techniques, it serves as a valuable addition to any technical library or research collection. Whether you are studying advanced computing or looking for specific mathematical applications in the digital age, this text provides the foundational subject matter necessary for understanding complex systems. Designed for students and professionals in the field of AI and machine learning, this publication offers a structured approach to understanding how optimization drives modern technology. Add this essential title to your collection to stay informed on the mathematical principles shaping today's digital world.

Key Features

Part of the Mathematical Methods in the Digital Age series for consistent academic quality.

Focuses on the specialized relationship between machine learning and fuzzy systems.

Published by De Gruyter, a trusted name in academic and professional literature.

Covers essential topics within the computing and internet computer science category.

Ideal for researchers and students studying artificial intelligence and optimization.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 February 2026
Listed Since
20 October 2025

Barcode

No barcode data available

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