Editore: Springer International Publishing, 2023
ISBN 10: 3031046501 ISBN 13: 9783031046506
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Seiten: 528 | Sprache: Englisch | Produktart: Bücher.
Da: SpringBooks, Berlin, Germania
EUR 32,59
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Aggiungi al carrelloHardcover. Condizione: Very Good. 2. Auflage. unread, cover with shelfwear or minor damages.
EUR 28,90
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Aggiungi al carrellopaperback. Condizione: Sehr gut. 400 Seiten; 9783030185473.2 Gewicht in Gramm: 1.
Condizione: Gut. Zustand: Gut | Seiten: 276 | Sprache: Englisch | Produktart: Bücher.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 61,25
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 61,25
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: Springer International Publishing AG, 2019
ISBN 10: 3030185443 ISBN 13: 9783030185442
Lingua: Inglese
Da: Better World Books, Mishawaka, IN, U.S.A.
EUR 46,38
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EUR 61,41
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Aggiungi al carrelloCondizione: New. pp. 528.
EUR 63,13
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Aggiungi al carrelloCondizione: New. pp. 528.
EUR 43,26
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Aggiungi al carrelloCondizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Editore: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,19
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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.
Editore: Springer International Publishing, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
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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.
EUR 63,95
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 64,40
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Aggiungi al carrelloCondizione: New.
EUR 76,85
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EUR 66,96
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 74,88
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 74,88
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Aggiungi al carrelloCondizione: New. In.
Editore: Springer International Publishing, 2023
ISBN 10: 3031046501 ISBN 13: 9783031046506
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,54
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with 'Programming Tips' that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers.Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, interpretability, and regularization. Many abstract mathematical ideas, such as modes of convergence in probability, are explained and illustrated with concrete numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 71,89
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Editore: Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 85,52
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 68,86
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Aggiungi al carrelloPF. Condizione: New.
Editore: Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 93,08
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 80,24
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 81,70
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 39,35
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Aggiungi al carrelloCondizione: Very Good. Very Good Condition. Five star seller - Buy with confidence!
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 96,50
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EUR 95,03
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 400 pages. 9.25x6.10x0.94 inches. In Stock.
Editore: Springer Nature Switzerland AG (edition 2nd ed. 2019), 2019
ISBN 10: 3030185443 ISBN 13: 9783030185442
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
EUR 40,90
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Aggiungi al carrelloHardcover. Condizione: Good. 2nd ed. 2019. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
EUR 90,69
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