000 01684cam a2200397 i 4500
001 21395111
003 NUST
005 20240829115039.0
008 200122s2020 maua b 001 0 eng
010 _a 2020002998
020 _a9780262044691
_q(hardcover)
040 _aDLC
_beng
_erda
_cDLC
_dDLC
042 _apcc
050 0 0 _aQ325.5
_b.K455 2020
082 0 0 _a519.2870285631
_223
_bKEL
100 1 _aKelleher, John D.,
_d1974-
_eauthor.
_9965
245 1 0 _aFundamentals of machine learning for predictive data analytics :
_balgorithms, worked examples, and case studies /
_cJohn D. Kelleher, Brian MacNamee and Aoife D'Arcy.
250 _aSecond edition.
260 _aCambridge, Massachusetts :
_bThe MIT Press,
_c2020.
300 _aliv, 798 pages :
_billustrations ;
_c25 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _a"A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--
_cProvided by publisher.
650 0 _aMachine learning.
650 0 _aData mining.
650 0 _aPrediction theory.
_9968
650 0 _aE-BOOKBANK.SEECSTEXTBOOK
_9125472
700 1 _aMac Namee, Brian,
_eauthor.
_9123595
700 1 _aD'Arcy, Aoife,
_d1978-
_eauthor.
_9970
856 _uhttp://10.250.8.41:8080/xmlui/handle/123456789/41646
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c609732
_d609732