Edité par Springer (edition 2012), 2012
ISBN 10 : 1441993258 ISBN 13 : 9781441993250
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Ajouter au panierHardcover. Etat : Very Good. 2012. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Ajouter au panierEtat : Fine. 2017 printing; 340 pp., hardcover, previous owner's name neatly inked to the title page, head of spine rubbed, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Ajouter au panierPaperback. Etat : As New. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind.
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Ajouter au panierPaperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Ajouter au panierEtat : very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
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Edition originale
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Ajouter au panierhardcover. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierEtat : As New. Unread copy in mint condition.
Vendeur : Your Online Bookstore, Houston, TX, Etats-Unis
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Ajouter au panierhardcover. Etat : New.
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
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Ajouter au panierhardcover. Etat : New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierEtat : new.
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EUR 47,18
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Ajouter au panierEtat : New.
Edité par Manning Publications 2023-06-09, 2023
ISBN 10 : 1617297135 ISBN 13 : 9781617297137
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 47,63
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Ajouter au panierPaperback. Etat : New.
Edité par Manning Publications, New York, 2023
ISBN 10 : 1617297135 ISBN 13 : 9781617297137
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 67,35
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Ajouter au panierPaperback. Etat : new. Paperback. Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 50,36
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.25x7.37x0.88 inches. In Stock.
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 3 working days.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : New. 2023. 1st Edition. Paperback. . . . . .
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Ajouter au panierEtat : New.
Edité par Manning Publications, US, 2023
ISBN 10 : 1617297135 ISBN 13 : 9781617297137
Langue: anglais
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
EUR 77,52
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Ajouter au panierPaperback. Etat : New. Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
EUR 56,70
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. 352 pp. Englisch.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 56,70
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. 352 pp. Englisch.
EUR 56,70
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models.
EUR 78,25
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Ajouter au panierEtat : New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.