Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 13,00
Cantidad disponible: 2 disponibles
Añadir al carritoXVII, 576 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 49,07
Cantidad disponible: 3 disponibles
Añadir al carritopaperback. Condición: Fine.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 59,47
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 62,14
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,37
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 68,65
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often overlooked in academic texts. Drawing on their experience at several major corporations and startups, the authors focus on real-world scenarios, guiding practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. They highlight common pitfalls and offer interview-based case studies from companies that illustrate diverse industrial applications and their unique challenges. Multiple pathways through the book allow readers to choose which stage of the ML development process to focus on, as well as the learning strategy ('crawl,' 'walk,' or 'run') that best suits the needs of their project or team.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Revaluation Books, Exeter, Reino Unido
EUR 55,41
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 446 pages. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Chiron Media, Wallingford, Reino Unido
EUR 55,45
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,42
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 70,59
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2026. paperback. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,77
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 90,97
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 86,77
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 100,19
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 103,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 115,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 103,43
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 65,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often overlooked in academic texts. Drawing on their experience at several major corporations and startups, the authors focus on real-world scenarios, guiding practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. They highlight common pitfalls and offer interview-based case studies from companies that illustrate diverse industrial applications and their unique challenges. Multiple pathways through the book allow readers to choose which stage of the ML development process to focus on, as well as the learning strategy ('crawl,' 'walk,' or 'run') that best suits the needs of their project or team.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 115,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Rarewaves.com UK, London, Reino Unido
EUR 64,22
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often overlooked in academic texts. Drawing on their experience at several major corporations and startups, the authors focus on real-world scenarios, guiding practitioners through the ML lifecycle, from planning and data management to model deployment and optimization. They highlight common pitfalls and offer interview-based case studies from companies that illustrate diverse industrial applications and their unique challenges. Multiple pathways through the book allow readers to choose which stage of the ML development process to focus on, as well as the learning strategy ('crawl,' 'walk,' or 'run') that best suits the needs of their project or team.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 331998148X ISBN 13: 9783319981482
Librería: moluna, Greven, Alemania
EUR 89,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 149,36
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331998148X ISBN 13: 9783319981482
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics.The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge.Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing.The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 160,73
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 576 pages. 9.50x6.25x1.50 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 59,39
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Majestic Books, Hounslow, Reino Unido
EUR 90,43
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 89,90
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer International Publishing Dez 2018, 2018
ISBN 10: 331998148X ISBN 13: 9783319981482
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics.The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge.Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing.The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship. 596 pp. Englisch.
Idioma: Inglés
Publicado por Cambridge University Press, 2026
ISBN 10: 100912420X ISBN 13: 9781009124201
Librería: preigu, Osnabrück, Alemania
EUR 70,20
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Shipping Machine Learning Systems | Mohamed El-Geish (u. a.) | Taschenbuch | Englisch | 2026 | Cambridge University Press | EAN 9781009124201 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 153,48
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.