01398cam a2200385 i 4500003000800000005001700008007000300025008004100028020004300069040001800112041000800130042000800138050002500146082001600171100003700187245013200224264005500356300002900411336002600440337002800466338002700494490005300521504006700574520012800641650002200769650003800791650001500829650001500844650002500859650003000884650001500914650001600929700003100945700003600976BJBSDDR20230411090108.0ta170612s2017    mau      b    001 0 eng    a9780262037310 (hardcover : alk. paper)  aDLCbengcDLC  aspa  apcc00aQ 325.5 bP482e 201700a006.3/12231 aPeters, Jonas, d1984- eauthor.10aElements of causal inference :bfoundations and learning algorithms /cJonas Peters, Dominik Janzing, and Bernhard Schölkopf. 1aCambridge, Massachuestts :bThe MIT Press,c[2017]  axiv, 265 pages ;c24 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aAdaptive computation and machine learning series  aIncludes bibliographical references (pages 235-262) and index.  aA concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. 0aMachine learning. 0aLogic, Symbolic and mathematical. 0aCausation. 0aInference. 0aComputer algorithms. 4aAprendizaje automático. 0aCausalidad 4aAlgoritmos.1 aJanzing, Dominik,eauthor.1 aSchölkopf, Bernhard,eauthor.