000			01836cam a2200373 i 4500
999			_c41668 _d41668
001			18556845
003			OSt
005			20221031140837.0
008			150407s2015 flua b 001 0 eng
010			_a 2014434325 _z 2015302878
020			_a9781466583283 (hbk)
020			_a1466583282 (hbk)
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aQ325.5 _b.M368 2015
082			_a006.31 _bMAR/M
100	1		_aMarsland, Stephen _99188
245	1	0	_aMachine learning : _ban algorithmic perspective / _cStephen Marsland.
250			_aSecond edition.
264		1	_aBoca Raton : _bCRC Press, _c[2015]
300			_axx, 437 pages : _billustrations ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC machine learning & pattern recognition series
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.
650		0	_aMachine learning.
650		0	_aAlgorithms.
906			_a7 _bcbc _corigres _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _h006.31 _iMAR/M _k006.31 _mMAR/M