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The elements of statistical learning : data mining, inference, and prediction
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TextLanguage: English Series: Springer series in statisticsPublication details: Springer c2009 Edition: 2nd edDescription: xxii, 745pISBN: 9780387848570 (HB)Subject(s): Machine learning | Statistics – Methodology | Data miningDDC classification: 006.31 HAS(ELE)
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Central Library | 006.31 HAS(ELE) (Browse shelf(Opens below)) | 1 | Available | 23008 |
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| 006.31 GOP(DEE) Deep learning : core concepts, methods and applications | 006.31 GRA(FOU) Foundations of deep reinforcement learning : theory and practice in Python | 006.31 HAM(GRA) Graph representation learning | 006.31 HAS(ELE) The elements of statistical learning : data mining, inference, and prediction | 006.31 HOO(MAC) Machine learning for the quantified self : on the art of learning from sensory data | 006.31 HOP(LEA) Learning TensorFlow : a guide to building deep learning systems | 006.31 HSI(MAC) Machine learning methods in the environmental sciences : neural networks and kernels |
Inv no.SAR/83/2016; dt.30-07-2016
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