Seller: Hawking Books, Edgewood, TX, U.S.A.
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Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
2nd Ed. XIV, 384 p. Hardcover. 2nd Ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Hardcover. Condition: Very Good. 2. Auflage. unread, cover with shelfwear or minor damages.
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Seller: Basi6 International, Irving, TX, U.S.A.
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Condition: New. pp. 528.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd edition. 400 pages. 9.25x6.10x0.94 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 3rd edition. 526 pages. 9.26x6.10x1.06 inches. In Stock.
Language: English
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
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Hardback. Condition: New. Third Edition 2022.
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Add to basketHardcover. Condition: Brand New. 3rd edition. 526 pages. 9.25x6.10x1.30 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.