Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2024]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781394220618/?ar |
| Zusammenfassung: | "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)."-- |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on March 26, 2024) |
| Umfang: | 1 Online-Ressource (512 pages) illustrations (some color) |
| ISBN: | 9781394220625 1394220626 1394220634 9781394220649 1394220642 9781394220632 9781394220618 |
Internformat
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| id | ZDB-30-ORH-10256146X |
| illustrated | Illustrated |
| indexdate | 2025-06-25T12:16:16Z |
| institution | BVB |
| isbn | 9781394220625 1394220626 1394220634 9781394220649 1394220642 9781394220632 9781394220618 |
| language | English |
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| spelling | Vasques, Xavier VerfasserIn aut Machine learning theory and applications hands-on use cases with Python on classical and quantum machines Xavier Vasques Hoboken, New Jersey Wiley [2024] ©2024 1 Online-Ressource (512 pages) illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on March 26, 2024) "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)."-- Machine learning Quantum computing Python (Computer program language) Apprentissage automatique Informatique quantique Python (Langage de programmation) Machine learning (OCoLC)fst01004795 Python (Computer program language) (OCoLC)fst01084736 Quantum computing (OCoLC)fst01920679 9781394220618 Erscheint auch als Druck-Ausgabe 9781394220618 |
| spellingShingle | Vasques, Xavier Machine learning theory and applications hands-on use cases with Python on classical and quantum machines Machine learning Quantum computing Python (Computer program language) Apprentissage automatique Informatique quantique Python (Langage de programmation) Machine learning (OCoLC)fst01004795 Python (Computer program language) (OCoLC)fst01084736 Quantum computing (OCoLC)fst01920679 |
| subject_GND | (OCoLC)fst01004795 (OCoLC)fst01084736 (OCoLC)fst01920679 |
| title | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines |
| title_auth | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines |
| title_exact_search | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines |
| title_full | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines Xavier Vasques |
| title_fullStr | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines Xavier Vasques |
| title_full_unstemmed | Machine learning theory and applications hands-on use cases with Python on classical and quantum machines Xavier Vasques |
| title_short | Machine learning theory and applications |
| title_sort | machine learning theory and applications hands on use cases with python on classical and quantum machines |
| title_sub | hands-on use cases with Python on classical and quantum machines |
| topic | Machine learning Quantum computing Python (Computer program language) Apprentissage automatique Informatique quantique Python (Langage de programmation) Machine learning (OCoLC)fst01004795 Python (Computer program language) (OCoLC)fst01084736 Quantum computing (OCoLC)fst01920679 |
| topic_facet | Machine learning Quantum computing Python (Computer program language) Apprentissage automatique Informatique quantique Python (Langage de programmation) |
| work_keys_str_mv | AT vasquesxavier machinelearningtheoryandapplicationshandsonusecaseswithpythononclassicalandquantummachines |