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註記   年
006.31 C995 : Czarnecki, Krzysztof,   
      Generative programming : methods, tools, and applications / Krzysztof Czarnecki and Ulrich W. Eisenec 公館分館; 006.31 C995   c2000
006.31 D837 : Drori, Iddo,   
      The science of deep learning / Iddo Drori 總館; 006.31 D837   2023
006.31 F532 : Fisher, Douglas H   
      Concept formation : knowledge and experience in unsupervised learning / edited by Douglas H. Fisher, 公館分館; 006.31 F532   c1991
006.31 F812 2nd.ed. : Foster, David   
      Generative deep learning : teaching machines to paint, write, compose, and play / David Foster ; fore 總館; 006.31 F812 2nd.ed.   2023
006.31 G319 : Géron, Aurélien,   
      Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build 總館; 006.31 G319   2017
006.31 G335 : Getoor, Lise   
      Introduction to statistical relational learning / edited by Lise Getoor, Ben Taskar 英語系; 006.31 G335   c2007
006.31 G564 : Goldberg, David E.   
      Genetic algorithms in search, optimization, and machine learning / [by] David E. Goldberg 公館分館; 006.31 G564   c1989
006.31 G616 : Goodfellow, Ian,   
      Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville 總館; 006.31 G616   2016
006.31 H279 2nd.ed. : Hastie, Trevor   
      The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Rober 總館; 006.31 H279 2nd.ed.   c2009
006.31 In8 2008 : International Conference on Advances in Machine Learning and Data Analysis   
      Advances in machine learning and data analysis / Sio-Iong Ao, Burghard B. Rieger, Mahyar Amouzegar, e 總館; 006.31 In8 2008   c2010
006.31 K117 : Kaelbling, Leslie Pack   
      Learning in embedded systems / Leslie Pack Kaelbling 科教所; 006.31 K117   c1993
006.31 K28 : Kelleher, John D.,   
      Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and cas 公館分館; 006.31 K28   2015
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