000			01745cam a2200301 i 4500
999			_c29935 _d29935
003			CUTN
005			20190821141506.0
008			170109s2017 mau b 001 0 eng
020			_a9780262036412
041			_aEnglish
042			_apcc
082	0	0	_a004.678 _223 _bHWA
100	1		_aHwang, Kai,
245	1	0	_aCloud computing for machine learning and cognitive applications / _cKai Hwang.
260			_aLondon : _bThe MIT Press, _c2017.
300			_a601 pages ; _c24 cm
505			_tPart 1. Cloud, Big Data, and Cognitive Computing _tPart 2. Cloud Architecture and Service Platform Design _tPart 3. Principles of Machine Learning and Artificial Intelligence Machine _tPart 4. Cloud Programming and Performance Boosters
520			_aThis textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.
650		0	_aCloud computing.
650		0	_aMachine learning.
650		0	_aData mining.
650		0	_aBig data.
942			_2ddc _cBOOKS
100	1		_eauthor.
504			_aIncludes bibliographical references and index.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg