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Ensemble Machine Learning Methods (65 results)
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Ensemble Machine Learning: Methods and Applications
Language: English
Published by Springer (edition 2012), 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Hardcover. Condition: 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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Ensemble Machine Learning: Methods and Applications
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: 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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Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC (edition 1), 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
Hardcover. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: 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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Paperback. Condition: 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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Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
First Edition
hardcover. Condition: 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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Ensemble Methods for Machine Learning
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
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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Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
hardcover. Condition: New.
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Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
First Edition
hardcover. Condition: 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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Condition: As New. Unread copy in mint condition.
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Condition: New. Brand New.
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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Ensemble Methods for Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.23
US$ 6.78 shipping
Ships from United Kingdom to U.S.A.Quantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Ensemble Methods for Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 59.12
US$ 16.18 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. In.
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Ensemble Methods for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.21
US$ 20.26 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Ensemble Methods for Machine Learning
Language: English
Published by Manning Publications 2023-06-09, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
US$ 56.75
US$ 20.93 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback. Condition: New.
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Ensemble Methods for Machine Learning (Paperback)
Language: English
Published by Manning Publications, New York, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
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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US$ 67.36
US$ 13.51 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 350 pages. 9.25x7.37x0.88 inches. In Stock.
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Condition: New.
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Ensemble Methods (Chapman Hall/CRC Machine Learning Pattern Recognition)
Book 3 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1439830037 ISBN 13: 9781439830031
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Ensemble Methods for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.29
US$ 20.26 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Ensemble Methods for Machine Learning
Language: English
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2023. 1st Edition. Paperback. . . . . .
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Ensemble Methods for Machine Learning
Language: English
Published by Manning Publications, US, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
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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Condition: New.
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Ensemble Methods for Machine Learning
Language: English
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.42
US$ 23.84 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 3 working days.
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Ensemble Methods for Machine Learning
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. 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. 352 pp. Englisch.
