000 01285nam\a2200301\a\4500
001 57810
005 20260520121608.0
008 260520s2020 maua b 001 0 eng
020 _a9780262044691
_q(hardcover)
040 _aDLC
_beng
_erda
_cDLC
_dBD-DhIUB
082 0 0 _a519.2870285631
_223
_bK2917f
100 1 _aKelleher, John D.,
_d1974-
_eauthor.
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 _aEngland:
_bThe MIT Press
_c2020
300 _aliv, 798 pages :
_billustrations ;
_c25 cm
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"--
526 _aCSE
_bps
_lREF
541 _aOmni concept
650 0 _aMachine learning.
650 0 _aData mining.
650 0 _aPrediction theory.
700 1 _aMac Namee, Brian,
_eauthor.
700 1 _aD'Arcy, Aoife,
_d1978-
_eauthor.
942 _2ddc
_cBK
999 _c57810
_d57984