Langue: anglais
Edité par Cambridge University Press (edition New), 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierPaperback. Etat : Good. New. 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.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press CUP, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierEtat : New. pp. 418.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierPaperback. Etat : new. Paperback. This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely from scratch based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts. This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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EUR 59,98
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Ajouter au panierEtat : New. pp. 418.
Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierPaperback. Etat : Brand New. 400 pages. 10.00x8.00x1.00 inches. In Stock.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press 2021-11-25, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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EUR 55,03
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Ajouter au panierPaperback. Etat : New.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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EUR 63,50
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Ajouter au panierEtat : New. pp. 418.
Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, GB, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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EUR 79,01
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Ajouter au panierPaperback. Etat : New. This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 62,01
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 66,37
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 3 working days.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 81,67
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Ajouter au panierPaperback. Etat : Brand New. 400 pages. 10.00x8.00x1.00 inches. In Stock.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
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EUR 100,46
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Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
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Langue: anglais
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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EUR 61,85
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Ajouter au panierPaperback. Etat : new. Paperback. This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely from scratch based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts. This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
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EUR 111,61
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Langue: anglais
Edité par Cambridge University Pr., 2022
ISBN 10 : 1108940021 ISBN 13 : 9781108940023
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Ajouter au panierEtat : New. This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used t.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2021
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Ajouter au panierHardcover. Etat : new. Hardcover. This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely from scratch based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts. This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 102,87
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 106,84
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Cambridge University Press, 2022
ISBN 10 : 1108837042 ISBN 13 : 9781108837040
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 118,56
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Ajouter au panierEtat : As New. Unread book in perfect condition.