Condizione: Very Good. Very Good Condition. Five star seller - Buy with confidence!
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 15,00
Quantità: 1 disponibili
Aggiungi al carrello2nd 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.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031046501 ISBN 13: 9783031046506
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 63,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: New. pp. 528.
EUR 66,09
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 528.
EUR 75,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 65,95
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 528.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,86
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 71,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 71,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 82,08
Quantità: 1 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 71,91
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 384.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 79,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 82,07
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 90,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 93,59
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 400 pages. 9.25x6.10x0.94 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 92,73
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 102,22
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 3rd edition. 526 pages. 9.26x6.10x1.06 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 121,80
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. Third Edition 2022.
EUR 105,59
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 526 pages. 9.25x6.10x1.30 inches. In Stock.