£121.79

About as cheap as it gets — within 5% of the all-time low it hit 3 months ago.

£122 today · all-time low £121 (Jul 2026) · usually £127

Elsevier Many-Sorted Algebras for Deep Learning and Quantum Technology

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£127.79 £120.09 £121.77 £123.45 £125.13 £126.81 £128.49 25 July 2026 15 August 2026 06 September 2026 28 September 2026 20 October 2026
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64 days 24 days 0 16 32 48 64 £121 £128 Days at Price

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Most common price: £121 (64 days, 72.7%)

Price range: £121 - £128

Price levels: 2 different prices over 88 days

Description

Many-Sorted Algebras for Deep Learning and Quantum Technology by Morgan Kaufmann provides a rigorous exploration of the algebraic foundations connecting quantum technologies with deep learning and quantum theory. This comprehensive resource addresses the growing intersection of quantum mechanics and machine learning by presenting precise mathematical frameworks through many-sorted algebras. The book integrates analytical, topological, probabilistic, and geometrical concepts whilst establishing algebra as the unifying thread across these advanced disciplines. Readers seeking to understand the mathematical underpinnings of quantum computing and deep learning will find this text essential for bridging theoretical knowledge with practical applications in emerging technologies.

Key Features

Many-Sorted Algebras for Deep Learning and Quantum Technology covers the mathematical foundations connecting quantum theory with contemporary deep learning methodologies.

The Morgan Kaufmann publication presents rigorous algebraic descriptions of quantum technology concepts and their relationship to modern machine learning approaches.

This book integrates analytical, topological, probabilistic, and geometrical frameworks whilst using many-sorted algebras as the principal organisational structure.

Readers gain insights into how algebraic concepts underpin both quantum technologies and deep learning systems through precise mathematical exposition.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 February 2024
Listed Since
24 May 2023

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