£113.93

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£114 today · previous high £114 · all-time low £108

Springer Concise Guide to Quantum Machine Learning - Springer

Amazon

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£113.93 £107.42 £108.84 £110.26 £111.68 £113.10 £114.52 27 July 2026 13 August 2026 31 August 2026 18 September 2026 06 October 2026
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Description

Explore the intersection of quantum computing and machine learning with this comprehensive guide from Springer. Part of the Machine Learning: Foundations, Methodologies, and Applications series, this book provides essential knowledge for understanding how quantum algorithms enhance machine learning capabilities. Whether you're a student, researcher, or practitioner in computer science or artificial intelligence, this concise guide delivers practical insights into quantum machine learning principles, theoretical foundations, and real-world applications. Ideal for anyone seeking to master the emerging field where quantum mechanics meets data science and artificial intelligence.

Key Features

Covers quantum machine learning fundamentals and methodologies within Springer's comprehensive Machine Learning series.

Combines quantum computing theory with practical machine learning applications for modern AI development.

Designed for computer science students, AI researchers, and professionals exploring quantum-enhanced algorithms.

Published by Springer, a leading academic publisher specialising in technical and scientific content.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 December 2023
Listed Since
21 November 2023

Barcode

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