Order Total (1 Item Items):
Shipping Destination:
Ensemble Methods Machine Learning by Kunapuli Gautam (33 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (33)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (26)
- As New, Fine or Near Fine (5)
- Very Good or Good (2)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (33)
Collectible Attributes
- First Edition (1)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (15)
- Not Print on Demand (33)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Paperback. Condition: As New. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
-
Paperback. Condition: Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
-
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.
-
US$ 49.94
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Condition: As New. Unread copy in mint condition.
-
US$ 50.00
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: New.
-
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Ensemble Methods for Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.05
Convert currencyUS$ 6.75 shipping from United Kingdom to U.S.A.Quantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Ensemble Methods for Machine Learning
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.02
Convert currencyUS$ 18.36 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 690.
-
Ensemble Methods for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.01
Convert currencyUS$ 20.18 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Ensemble Methods for Machine Learning (Paperback)
Published by Manning Publications, New York, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
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.
-
Ensemble Methods for Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.56
Convert currencyUS$ 20.18 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
US$ 70.57
Convert currencyUS$ 8.74 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
-
Ensemble Methods for Machine Learning
Published by Manning Publications 2023-06-09, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
US$ 61.59
Convert currencyUS$ 20.84 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketPaperback. Condition: New.
-
Ensemble Methods for Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.73
Convert currencyUS$ 16.12 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. In.
-
Condition: New.
-
Ensemble Methods for Machine Learning
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
US$ 75.93
Convert currencyUS$ 12.19 shipping from Ireland to U.S.A.Quantity: 4 available
Add to basketCondition: New. 2023. 1st Edition. Paperback. . . . . .
-
Ensemble Methods for Machine Learning
Published by Manning Publications, US, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
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.
-
Ensemble Methods for Machine Learning
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 67.83
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
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.
-
US$ 40.91
Convert currencyUS$ 52.26 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: as new. Wie neu/Like new.
-
Ensemble Methods for Machine Learning
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 67.83
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
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.
-
US$ 86.89
Convert currencyUS$ 11.56 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New.
-
US$ 67.83
Convert currencyUS$ 30.14 shipping from Germany to U.S.A.Quantity: 2 available
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.
-
Ensemble Methods for Machine Learning
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
Condition: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
-
US$ 57.42
Convert currencyUS$ 55.16 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: NEW.
-
US$ 79.44
Convert currencyUS$ 33.63 shipping 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.
-
Ensemble Methods for Machine Learning
Published by Manning Publications, 2023
ISBN 10: 1617297135 ISBN 13: 9781617297137
Language: English
US$ 55.96
Convert currencyUS$ 56.90 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketKartoniert / Broschiert. Condition: New. Über den AutorrnrnGautam Kunapuli has over 15 years of experience in academia and the machine learning industry. He has developed several novel algorithms for diverse application domains including social network analysis, text and natu.
-
US$ 92.99
Convert currencyUS$ 33.63 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 350 pages. 9.25x7.37x0.88 inches. In Stock.
-
Ensemble Methods for Machine Learning
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 67.83
Convert currencyUS$ 69.69 shipping from Germany to U.S.A.Quantity: 2 available
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.Manning, St.-Martin-Straße 82, 81541 München 350 pp. Englisch.
