Machine learning theory and applications: hands-on use cases with python on classical and quantum machines / Xavier Vasques

By: Vasques, Xavier [author.]Contributor(s): Vasques. Xavier [author.]Material type: TextTextPublisher: Hoboken, New Jersey : Wiley, c2024Description: xx, 487 pages : colored illustrations (black and white)Content type: text Media type: unmediated Carrier type: volumeISBN: 9781394220618 [hardbound]Subject(s): Machine learning | Quantum computing | Python (Computer program language)Summary: "Machine learning (ML) and quantum computing are two technologies that have the potential to allow us to solve complex, previously impossible problems and help speed up areas such as model training or pattern recognition. The future of computing will certainly be comprised of classical, biologically inspired, and quantum computing. The intersection between quantum computing and AI/ML has received considerable attention in recent years and has enabled the development of quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, variational quantum classifiers or quantum generative adversarial networks (qGANs)."-- Provided by publisher.
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006.31 V44 2024 (Browse shelf) Available 3UCBL000028183

Includes index.

"Machine learning (ML) and quantum computing are two technologies that have the potential to allow us to solve complex, previously impossible problems and help speed up areas such as model training or pattern recognition. The future of computing will certainly be comprised of classical, biologically inspired, and quantum computing. The intersection between quantum computing and AI/ML has received considerable attention in recent years and has enabled the development of quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, variational quantum classifiers or quantum generative adversarial networks (qGANs)."-- Provided by publisher.

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College of Industrial Engineering Industrial Engineering

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