Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
Language: English
Seller: BGV Books LLC, Murray, KY, U.S.A.
Condition: Good. Exact ISBN match. Immediate shipping. No funny business.
Paperback. Condition: As New. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Condition: 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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Condition: New.
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Condition: As New. Unread copy in mint condition.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Springer (edition 2012), 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 2012. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 690.
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Condition: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Sept. 1 (holiday sale item)* 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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Published by Manning Publications, New York, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: 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.
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Published by Manning Publications 2023-06-09, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
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Published by Manning Publications, US, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: 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.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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. 350 pp. Englisch.
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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. 350 pp. Englisch.
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Add to basketThe book is in a good readable condition. The spine and cover shows minimal signs of wear and edges may have dents. May have limited notes or highlighting/underlining.
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Add to basketTaschenbuch. Condition: 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.
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032960604 ISBN 13: 9781032960609
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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