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Machine Learning Bayesian Optimization by Theodoridis Sergios (17 results)
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Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
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Machine Learning: A Bayesian and Optimization Perspective
Seller: Once Upon A Time Books, Siloam Springs, AR, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Good. This is a used book in good condition and may show some signs of use or wear . This is a used book in good condition and may show some signs of use or wear .
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Condition: New.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: As New. Unread book in perfect condition.
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Machine Learning: A Bayesian and Optimization Perspective
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 70.56
Convert currency£ 12.83 shipping from United Kingdom to U.S.A.Quantity: 15 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning: A Bayesian and Optimization Perspective
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
Seller rating 5 out of 5 stars
£ 65
Convert currency£ 20 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Fine. Light scuffs & scratches to the hardcover. Faint marks to the edges of the textblock. Content is in very good, clean condition/like new.
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Machine Learning : A Bayesian and Optimization Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 70.55
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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£ 84.36
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 2nd edition. 1071 pages. 9.25x7.50x2.25 inches. In Stock.
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Machine Learning : A Bayesian and Optimization Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 82.31
Convert currency£ 15 shipping 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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Machine Learning: A Bayesian and Optimization Perspective
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128188030 ISBN 13: 9780128188033
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. 2nd Edition. Hardcover. . . . . .
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Machine Learning: A Bayesian and Optimization Perspective
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128188030 ISBN 13: 9780128188033
Language: English
Condition: New. 2020. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Machine Learning : A Bayesian and Optimization Perspective
Published by Elsevier Science Jul 2020, 2020
ISBN 10: 0128188030 ISBN 13: 9780128188033
Language: English
£ 94.93
Convert currency£ 33.97 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - Presents the physical reasoning, mathematical modeling and algorithmic implementation of each method Updates on the latest trends, including sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling Provides case studies on a variety of topics, including protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, and more.
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Machine Learning: A Bayesian and Optimization Perspective
Published by Elsevier LTD, Oxford, 2020
ISBN 10: 0128188030 ISBN 13: 9780128188033
Language: English
£ 90.22
Convert currency£ 41.82 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketGebunden. Condition: New. Über den AutorSergios Theodoridis is professor of machine learning and signal processing with the National and Kapodistrian University of Athens, Athens, Greece and with the Chinese University of Hong Kong, Shenzhen, China.H.
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Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition)(Chinese Edition)
ISBN 10: 7111692578 ISBN 13: 9787111692577
Language: English
paperback. Condition: New. Paperback.Pub Date:2022-01-01 Pages:828 Language:Chinese Publisher:Machinery Industry Press Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition) for all important machine learning methods and recent research The trend has been deeply explored. By explaining the two pillars of supervised learningregression and classification. these complicated methods are opened up one by one from a panoramic perspective. forming a clear machine learning knowledge system. The new edi.
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Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition)(Chinese Edition)
Published by Machinery Industry Press, 2022
ISBN 10: 7111692578 ISBN 13: 9787111692577
paperback. Condition: New. Paperback.Pub Date:2022-01-01 Pages:828 Language:Chinese Publisher:Machinery Industry Press Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition) for all important machine learning methods and recent research The trend has been deeply explored. By explaining the two pillars of supervised learningregression and classification. these complicated methods are opened up one by one from a panoramic perspective. forming a clear machine learning knowledge system. The new edi.
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-12-01 Pages:1152 Publisher: Machinery Industry Press This book introduces the two pillars of supervised learning-regression and classification-and brings machine learning into a unified perspective to discuss.?The book first discusses basic knowledge. including mean squares. *small squares and maximum likelihood methods. ridge regression. Bayesian decision theory classification. logistic regression. and decision trees.?Then introduce the latest techn.
