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Publicado por Taylor & Francis Group, 2019
ISBN 10: 0815384106 ISBN 13: 9780815384106
Idioma: Inglés
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Publicado por Taylor & Francis Group, 2019
ISBN 10: 0815384106 ISBN 13: 9780815384106
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por Taylor & Francis Group, 2019
ISBN 10: 0815384106 ISBN 13: 9780815384106
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Publicado por T And F Crc Press, 2020
Idioma: Inglés
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Añadir al carritoSoft cover. Condición: New. ISBN:9780815384106.
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Publicado por Chapman and Hall/CRC -, 2025
ISBN 10: 1032878142 ISBN 13: 9781032878140
Idioma: Inglés
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 650.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032878142 ISBN 13: 9781032878140
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: New. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why-only if "why" an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.
ISBN 10: 1032963506 ISBN 13: 9781032963501
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Añadir al carritoCondición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032878142 ISBN 13: 9781032878140
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 84,87
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Añadir al carritoPaperback. Condición: New. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why-only if "why" an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 334 pages. 9.18x6.12x9.21 inches. In Stock.
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 334 pages. 9.18x6.12x9.21 inches. In Stock.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032878142 ISBN 13: 9781032878140
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 86,89
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Añadir al carritoPaperback. Condición: New. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why-only if "why" an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032878142 ISBN 13: 9781032878140
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 74,21
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Añadir al carritoPaperback. Condición: New. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Why-only if "why" an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable.
EUR 76,70
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Añadir al carritoTaschenbuch. Condición: Neu. A Concise Introduction to Machine Learning | A. C. Faul | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032878140 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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