Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Cover and edges may have some wear.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Gulf Coast Books, Cypress, TX, U.S.A.
hardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Prior Books Ltd, Cheltenham, Regno Unito
Prima edizione
EUR 38,38
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Books Puddle, New York, NY, U.S.A.
Condizione: Used. pp. 350 New edition niversity Press.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Majestic Books, Hounslow, Regno Unito
EUR 66,66
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used. pp. 350.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: California Books, Miami, FL, U.S.A.
EUR 75,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 66,40
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used. pp. 350.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 64,39
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press 2022-03-31, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Chiron Media, Wallingford, Regno Unito
EUR 66,06
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 71,54
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press 2022-03-31, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Chiron Media, Wallingford, Regno Unito
EUR 70,68
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,55
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 101,93
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
EUR 62,52
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as d.
Da: Revaluation Books, Exeter, Regno Unito
EUR 102,36
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Da: Rarewaves.com UK, London, Regno Unito
EUR 95,17
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 252,68
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Revaluation Books, Exeter, Regno Unito
EUR 71,33
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock. This item is printed on demand.