Da: SpringBooks, Berlin, Germania
EUR 32,95
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Aggiungi al carrelloHardcover. Condizione: Very Good. 2. Auflage. unread, cover with shelfwear or minor damages.
Condizione: As New. Unread book in perfect condition.
Condizione: Very Good. Very Good Condition. Five star seller - Buy with confidence!
Condizione: New.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 81,44
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 71,85
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 61,21
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Aggiungi al carrelloCondizione: New. pp. 528.
EUR 73,75
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EUR 74,37
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Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,92
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,03
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,03
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Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 70,02
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 384.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 76,26
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Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 81,42
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 78,88
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 87,74
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EUR 92,49
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 400 pages. 9.25x6.10x0.94 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 91,99
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EUR 101,03
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Aggiungi al carrelloPaperback. Condizione: Brand New. 3rd edition. 526 pages. 9.26x6.10x1.06 inches. In Stock.
EUR 105,04
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Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 526 pages. 9.25x6.10x1.30 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,19
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.This updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Test. A new section on survival analysis has been included as well as substantial development of Generalized Linear Models. The new deep learning section for image processing includes an in-depth discussion of gradient descent methods that underpin all deep learning algorithms. As with the prior edition, there are new and updated \*Programming Tips\* that the illustrate effective Python modules and methods for scientific programming and machine learning. There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy. Over 158 graphical visualizations (almost all generated using Python) illustrate the concepts that are developed both in code and in mathematics. We also discuss and use key Python modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras.This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.