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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 73,48
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hardcover. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,78
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,74
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Condizione: New. pp. 374.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 65,79
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 79,37
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 374.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2020-06-30, 2020
ISBN 10: 0367570610 ISBN 13: 9780367570613
Da: Chiron Media, Wallingford, Regno Unito
EUR 73,73
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 109,62
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 110,59
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Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 113804637X ISBN 13: 9781138046375
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset.The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 98,97
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 374 pages. 9.21x6.14x0.94 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 113,82
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 110,17
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 110,80
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 110,81
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 121,98
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 129,35
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 113804637X ISBN 13: 9781138046375
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 164,71
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset.The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 189,39
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 361 pages. 9.25x6.25x1.00 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 68,10
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 374 This item is printed on demand.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 82,17
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 77,35
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 57,92
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the Nati.
Da: Revaluation Books, Exeter, Regno Unito
EUR 121,95
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 361 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
Da: moluna, Greven, Germania
EUR 93,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the Nati.