000			03851aam a22006611a 4500
001			021289801
003			UkOxU
005			20200529114105.0
006			m || d |
007			cr |||||||||||
008			180907s2018 sz o 000 0 eng d
015			_aGBB8H0482 _2bnb
020			_a9783319723471 _q(electronic book)
020			_a3319723472 _q(electronic book)
020			_z9783319723464
020			_z3319723464
035			_a(Uk)019046055
037			_acom.springer.onix.9783319723471 _bSpringer Nature
040			_aYDX _beng _cYDX _dGW5XE _dYDX _dUk
042			_aukblsr
050		4	_aQA76.9.B45 _bD56 2018
082	0	4	_a005.7 _223
100	1		_aDinov, Ivo D. _939908
245	1	0	_aData science and predictive analytics _h[electronic resource] : _bbiomedical and health applications using R / _cIvo D. Dinov.
260			_aCham. : _bSpringer, _c©2018.
300			_a1 online resource.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
500			_aAcademic
505	0		_a1 Introduction.- 2 Foundations of R.- 3 Managing Data in R.- 4 Data Visualization.- 5 Linear Algebra & Matrix Computing.- 6 Dimensionality Reduction.- 7 Lazy Learning: Classification Using Nearest Neighbors.- 8 Probabilistic Learning: Classification Using Naive Bayes.- 9 Decision Tree Divide and Conquer Classification.- 10 Forecasting Numeric Data Using Regression Models.- 11 Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines.- 12 Apriori Association Rules Learning.- 13 k-Means Clustering.- 14 Model Performance Assessment.- 15 Improving Model Performance.- 16 Specialized Machine Learning Topics.- 17 Variable/Feature Selection.- 18 Regularized Linear Modeling and Controlled Variable Selection.- 19 Big Longitudinal Data Analysis.- 20 Natural Language Processing/Text Mining.- 21 Prediction and Internal Statistical Cross Validation.- 22 Function Optimization.- 23 Deep Learning Neural Networks.- 24 Summary.- 25 Glossary.- 26 Index.- 27 Errata.
506	1		_aLegal Deposit; _cOnly available on premises controlled by the deposit library and to one user at any one time; _eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK). _5UkOxU
540			_aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. _5UkOxU
546			_aEnglish
588			_aDescription based on online resource; title from digital title page (viewed on September 11, 2018).
650		0	_aComputer science. _939909
650		0	_aBig data. _939910
650		0	_aMathematical statistics. _939911
650		0	_aR (Computer program language) _937827
650		7	_aBusiness & Economics _xIndustries _xComputer Industry. _2bisacsh _939912
650		7	_aMedical _xGeneral. _2bisacsh _939913
650		7	_aComputers _xMathematical & Statistical Software. _2bisacsh _939914
650		7	_aComputers _xDatabase Management _xData Mining. _2bisacsh _939915
650		7	_aBusiness mathematics & systems. _2bicssc _939916
650		7	_aMedical equipment & techniques. _2bicssc _939917
650		7	_aMaths for computer scientists. _2bicssc _937931
650		7	_aData mining. _2bicssc _939918
650		0	_aMedical records_xData processing. _939919
650		0	_aData mining. _939918
650		7	_aComputers _xDatabase Management _xGeneral. _2bisacsh _939920
650		7	_aDatabases. _2bicssc _92790
655		4	_aElectronic books. _939921
856			_uhttps://online.fliphtml5.com/lluzx/pdgn/ _zЦахимаар унших
884			_aLDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl _g20180830 _kcom.springer.onix.9783319723471 _qUk
942			_2ddc _cEB
999			_c17770 _d17770