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Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.75.
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Machine Learning for Marketing (Paperback or Softback)
Language: English
Published by Global Data Science Publishing 6/14/2019, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Paperback or Softback. Condition: New. Machine Learning for Marketing. Book.
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Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Condition: New.
-
Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Condition: New. pp. 237.
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Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
paperback. Condition: 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!
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Textbook of Machine Learning and Data Mining: With Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: New.
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Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: New.
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Textbook of Machine Learning and Data Mining: With Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: As New. Unread book in perfect condition.
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Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
£ 17.87 10% off£ 16.09
£ 92.19 shipping
Ships from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: 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.
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Textbook of Machine Learning and Data Mining
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Paperback. Condition: New.
-
Textbook of Machine Learning and Data Mining: With Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 103.68
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Textbook of Machine Learning and Data Mining: With Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 117.54
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: New. pp. 388.
-
Textbook of Machine Learning and Data Mining
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 146.47
Free Shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Textbook of Machine Learning and Data Mining
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Paperback. Condition: New.
-
Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
paperback. Condition: New. New. book.
-
Textbook of Machine Learning and Data Mining
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
£ 134.94
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Condition: New. Print on Demand pp. 237.
-
Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Condition: New. PRINT ON DEMAND pp. 237.
-
Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Condition: 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.
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Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Taschenbuch. Condition: 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.
-
Machine Learning for Marketing
Language: English
Published by Global Data Science Publishing, 2019
ISBN 10: 4991044529 ISBN 13: 9784991044526
Taschenbuch. Condition: 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.
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Textbook of Machine Learning and Data Mining
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Kartoniert / Broschiert. Condition: 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.
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Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: New. Print on Demand pp. 388.
-
Textbook of Machine Learning and Data Mining: with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Condition: New. PRINT ON DEMAND pp. 388.
-
Textbook of Machine Learning and Data Mining | with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Taschenbuch. Condition: 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.
-
Textbook of Machine Learning and Data Mining : with Bioinformatics Applications
Language: English
Published by Global Data Science Publishing, 2018
ISBN 10: 4991044502 ISBN 13: 9784991044502
Taschenbuch. Condition: 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.
