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 | | An Introduction to Statistical Learning with Applications in Python by Gareth James Hardcover, Published 2023 by Springer International Publishing Jul 2023 ISBN-13: 978-3-031-38746-3, ISBN: 3-031-38746-5 |
 | | ISBN-13: 978-3-031-38747-0, ISBN: 3-031-38747-3 |
 | | AI 2017 Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings by Wei Peng , Damminda Alahakoon , Xiaodong Li 376 Pages, Published 2017 by Springer ISBN-13: 978-3-319-63004-5, ISBN: 3-319-63004-0 |
 | | Statistical Learning with Sparsity(1st Edition) The Lasso and Generalizations (Monographs on Statistics and Applied Probability) by Trevor Hastie , Robert Tibshirani , Martin Wainwright Paperback, 367 Pages, Published 2020 by Routledge ISBN-13: 978-0-367-73833-4, ISBN: 0-367-73833-3 |
 | | The Elements of Statistical Learning(2nd Edition) Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Trevor Hastie , Robert Tibshirani , Jerome Friedman Hardcover, 745 Pages, Published 2016 by Springer ISBN-13: 978-0-387-84857-0, ISBN: 0-387-84857-6 |
 | | Statistical Learning with Sparsity(1st Edition) The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) by Trevor Hastie , Robert Tibshirani , Martin Wainwright Hardcover, 367 Pages, Published 2015 by Chapman And Hall/Crc ISBN-13: 978-1-4987-1216-3, ISBN: 1-4987-1216-9 |
