000			01840nam a22003257a 4500
003			OSt
005			20241017190213.0
008			241017b |||||||| |||| 00| 0 eng d
020			_a9781394220618 [hardbound]
040			_aUniversity of Cebu - Banilad _cUniversity of Cebu - Banilad
100			_aVasques, Xavier _eauthor.
245			_aMachine learning theory and applications: _bhands-on use cases with python on classical and quantum machines / _cXavier Vasques
260			_aHoboken, New Jersey : _bWiley, _cc2024.
300			_axx, 487 pages : _bcolored illustrations (black and white) ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes index.
520			_a"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.
521			_aAdult
541			_yCollege of Industrial Engineering _zIndustrial Engineering
546			_aText in English
650			_aMachine learning.
650			_aQuantum computing.
650			_aPython (Computer program language)
700			_aVasques. Xavier _eauthor.
942			_2ddc _cBK
998			_cHannah [new] _d10/17/2024
999			_c12948 _d12948