Items related to Machine Learning in Marketing: Customer data growth,...

Machine Learning in Marketing: Customer data growth, new methods, and myriad of applications - Softcover

 
9786203202014: Machine Learning in Marketing: Customer data growth, new methods, and myriad of applications

Synopsis

Marketing paradigm is becoming customer centric. Every day billions of interactions and transactions occur, generating huge quantities of data. Customers are analysed though the lenses of marketing, with the data that those organizations record, integrate and manage. Today analytical tools include new statistical learning developments, such as machine learning, to generate new models gaining customer insights and supporting marketing decisions. A review of recent research in marketing showed a wide variety of case studies using machine learning methods from customer acquisition analysis, to customer development and customer retention issues. Machine learning models are able to process large data sets, including structured and unstructured data, for prediction and feature extraction models. In an environment where Artificial Intelligence is taking on a large part of the analytical work, companies should consider integrating these methodologies and tools into their marketing teams.

"synopsis" may belong to another edition of this title.

Search results for Machine Learning in Marketing: Customer data growth,...

Seller Image

José M. Ramos-Henriquez
ISBN 10: 6203202010 ISBN 13: 9786203202014
New Taschenbuch
Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Marketing paradigm is becoming customer centric. Every day billions of interactions and transactions occur, generating huge quantities of data. Customers are analysed though the lenses of marketing, with the data that those organizations record, integrate and manage. Today analytical tools include new statistical learning developments, such as machine learning, to generate new models gaining customer insights and supporting marketing decisions. A review of recent research in marketing showed a wide variety of case studies using machine learning methods from customer acquisition analysis, to customer development and customer retention issues. Machine learning models are able to process large data sets, including structured and unstructured data, for prediction and feature extraction models. In an environment where Artificial Intelligence is taking on a large part of the analytical work, companies should consider integrating these methodologies and tools into their marketing teams. 96 pp. Englisch. Seller Inventory # 9786203202014

Contact seller

Buy New

US$ 44.80
Convert currency
Shipping: US$ 27.11
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Seller Image

José M. Ramos-Henriquez
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203202010 ISBN 13: 9786203202014
New Taschenbuch
Print on Demand

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Marketing paradigm is becoming customer centric. Every day billions of interactions and transactions occur, generating huge quantities of data. Customers are analysed though the lenses of marketing, with the data that those organizations record, integrate and manage. Today analytical tools include new statistical learning developments, such as machine learning, to generate new models gaining customer insights and supporting marketing decisions. A review of recent research in marketing showed a wide variety of case studies using machine learning methods from customer acquisition analysis, to customer development and customer retention issues. Machine learning models are able to process large data sets, including structured and unstructured data, for prediction and feature extraction models. In an environment where Artificial Intelligence is taking on a large part of the analytical work, companies should consider integrating these methodologies and tools into their marketing teams. Seller Inventory # 9786203202014

Contact seller

Buy New

US$ 46.27
Convert currency
Shipping: US$ 33.95
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

José M. Ramos-Henriquez
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203202010 ISBN 13: 9786203202014
New Softcover

Seller: moluna, Greven, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # 452576144

Contact seller

Buy New

US$ 38.87
Convert currency
Shipping: US$ 57.74
From Germany to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

José M. Ramos-Henriquez
ISBN 10: 6203202010 ISBN 13: 9786203202014
New Taschenbuch

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: Neu. Neuware -Marketing paradigm is becoming customer centric. Every day billions of interactions and transactions occur, generating huge quantities of data. Customers are analysed though the lenses of marketing, with the data that those organizations record, integrate and manage. Today analytical tools include new statistical learning developments, such as machine learning, to generate new models gaining customer insights and supporting marketing decisions. A review of recent research in marketing showed a wide variety of case studies using machine learning methods from customer acquisition analysis, to customer development and customer retention issues. Machine learning models are able to process large data sets, including structured and unstructured data, for prediction and feature extraction models. In an environment where Artificial Intelligence is taking on a large part of the analytical work, companies should consider integrating these methodologies and tools into their marketing teams.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9786203202014

Contact seller

Buy New

US$ 44.80
Convert currency
Shipping: US$ 64.83
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket