Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.75.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
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EUR 78,12
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Añadir al carritopaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 102,82
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 113,75
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Machine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engineering, finance, agriculture, to name a few. Marketing is rather behind this trend, while marketing has a lot of potential applications for machine learning. In other words, marketing may change into more autonomous scientific work by using data and also proper formulation of each application into a machine learning problem. This book focuses on two major, traditional paradigms of marketing: target marketing and relationship marketing. Then it is revealed that each of numerous aspects of the two marketing paradigms can be formulated into a machine learning problem. That is, for each problem, a machine learning model can be built and parameters of the model can be estimated/optimized from given data. For example, an important objective of target marketing can be interpreted as a problem of finding a customer segment, which has a plenty of customers but no competitors. This problem can be formulated into a machine learning problem for which a model is built and model parameters can be estimated from given data. This book, for each machine learning problem setting, always builds a simpler (probably simplest) model, so that readers can understand the idea and assumption of the model easily. This book would be useful for both sides of marketing and machine learning. That is, marketers would be able to study the way of formulating a problem of marketing into a machine learning problem/function in which parameters are estimated from given data. On the other hand, machine learners would be able to study applications of marketing and also essential and intuitive ideas behind marketing through numerous applications in this book.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 133,67
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 120,85
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 137,20
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 166,33
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 137,21
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Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 176,75
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Añadir al carritopaperback. Condición: New. New. book.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: Rarewaves.com UK, London, Reino Unido
EUR 158,87
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Librería: moluna, Greven, Alemania
EUR 38,39
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMachine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engi.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 46,04
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engineering, finance, agriculture, to name a few. Marketing is rather behind this trend, while marketing has a lot of potential applications for machine learning. In other words, marketing may change into more autonomous scientific work by using data and also proper formulation of each application into a machine learning problem. This book focuses on two major, traditional paradigms of marketing: target marketing and relationship marketing. Then it is revealed that each of numerous aspects of the two marketing paradigms can be formulated into a machine learning problem. That is, for each problem, a machine learning model can be built and parameters of the model can be estimated/optimized from given data. For example, an important objective of target marketing can be interpreted as a problem of finding a customer segment, which has a plenty of customers but no competitors. This problem can be formulated into a machine learning problem for which a model is built and model parameters can be estimated from given data. This book, for each machine learning problem setting, always builds a simpler (probably simplest) model, so that readers can understand the idea and assumption of the model easily. This book would be useful for both sides of marketing and machine learning. That is, marketers would be able to study the way of formulating a problem of marketing into a machine learning problem/function in which parameters are estimated from given data. On the other hand, machine learners would be able to study applications of marketing and also essential and intuitive ideas behind marketing through numerous applications in this book.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Librería: preigu, Osnabrück, Alemania
EUR 39,90
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning for Marketing | Hiroshi Mamitsuka | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Global Data Science Publishing | EAN 9784991044526 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: moluna, Greven, Alemania
EUR 112,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnData-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, d.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: preigu, Osnabrück, Alemania
EUR 116,60
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Textbook of Machine Learning and Data Mining | with Bioinformatics Applications | Hiroshi Mamitsuka | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Global Data Science Publishing | EAN 9784991044502 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 149,78
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, dividing them from a viewpoint of data types, which begin with rather simple vectors and end by graphs and also combination of different data types. This book describes standard techniques of machine learning and data mining for each data type, especially focusing on the relevance and difference among them. Also after explaining a series of machine learning methods for seven different data types, this book has a chapter for standard validation methods on empirical results obtained by applying machine learning methods to data. This book can be used for a variety of objectives, including an introductory textbook of studying machine learning and a (first step) book to start machine learning research, etc.