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020			_a9811519676
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035			_a(PPN)257354670
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040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
041	0		_aeng
050	1	4	_aQ325.5 _b.Z468 2021
090			_aQ325.5 _b.Z468 2021EBK
100	1		_aZhou, Zhi-Hua _c(Computer scientist), _eauthor
245	1	0	_aMachine learning / _cZhi-Hua Zhou.
264		1	_aGateway East, Singapore : _bSpringer, _c[2021]
264		4	_c℗♭2021
300			_a1 online resource (460 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
520			_aMachine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some  advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest. The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.
588			_aDescription based on print version record.
650		0	_aMachine learning. _9738
655		7	_aElectronic books _2local _92032
776	0	8	_z981-15-1966-8
856	4	0	_3Springerlink _uhttps://link.springer.com/book/10.1007/978-981-15-1967-3 _zOnline access link to the resource
942			_2lcc _cEBK
999			_c200467736 _d85948