000			03512cam a22005058i 4500
001			9781003138020
003			FlBoTFG
005			20220711212457.0
006			m o d
007			cr |||||||||||
008			210413s2021 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003138020 _q(ebook)
020			_a1003138020
020			_a9781000455687 _q(electronic bk. : EPUB)
020			_a1000455688 _q(electronic bk. : EPUB)
020			_a9781000455670 _q(electronic bk. : PDF)
020			_a100045567X _q(electronic bk. : PDF)
020			_z9780367685423 _q(hardback)
020			_z9780367685454 _q(paperback)
035			_a(OCoLC)1248599771
035			_a(OCoLC-P)1248599771
050	0	0	_aQ325.5
072		7	_aTEC _x029000 _2bisacsh
072		7	_aUY _2bicssc
082	0	0	_a006.3/1 _223
245	0	0	_aHandbook of machine learning for computational optimization : _bapplications and case studies / _cVishal Jain, Sapna Juneja, Abhinav Juneja, Ramani Kannan.
264		1	_aBoca Raton : _bCRC Press, _c2021.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aDemystifying technologies for computational excellence
505	2		_aRandom variables in machine learning / Dr. Piratla Srihari -- Analysis of EMG signals using extreme learning machine with nature inspired feature selection techniques / A. Anitha and Bakiya Ambikapathy -- Detection of breast cancer by using various machine learning and deep learning algorithms / Yogesh Jadhav, Harsh Mathur -- Assessing the radial efficiency performance of bus transport sector using data envelopment analysis / Swati Goyal, Shivi Agarwal, Trilok Mathur and Nirbhay Mathur.
520			_a"Technology is moving at an exponential pace in this era of computational intelligence. Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new Machine Learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach which makes Machine Learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms which are more efficient and reliable for new dimensions in discovering other applications and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for Machine Learning based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMachine learning _xIndustrial applications. _912876
650		0	_aMathematical optimization _xData processing. _916646
650		0	_aArtificial intelligence. _93407
650		7	_aTECHNOLOGY / Operations Research _2bisacsh _910871
700	1		_aJain, Vishal, _d1983- _eeditor. _916881
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003138020
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c71365 _d71365