Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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EUR 53,42
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Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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EUR 41,38
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 115,95
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Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 122,98
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
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EUR 149,10
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
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EUR 154,38
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 144,51
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Langue: anglais
Edité par Global Data Science Publishing, 2018
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
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Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
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Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. Print on Demand pp. 237.
Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. Print on Demand pp. 237.
Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 47,96
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Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2019
ISBN 10 : 4991044529 ISBN 13 : 9784991044526
Vendeur : preigu, Osnabrück, Allemagne
EUR 39,90
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 159,42
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Ajouter au panierEtat : New. Print on Demand pp. 388.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : moluna, Greven, Allemagne
EUR 111,79
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 166,98
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand pp. 388.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 162,59
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 388.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : preigu, Osnabrück, Allemagne
EUR 115,95
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Global Data Science Publishing, 2018
ISBN 10 : 4991044502 ISBN 13 : 9784991044502
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 153,82
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.