Artificial Intelligence Marketing and Predicting Consumer Choice

An Overview of Tools and Techniques

Nonfiction, Computers, Database Management, Data Processing, Business & Finance, Marketing & Sales
Cover of the book Artificial Intelligence Marketing and Predicting Consumer Choice by Dr Steven Struhl, Kogan Page
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Author: Dr Steven Struhl ISBN: 9780749479565
Publisher: Kogan Page Publication: April 3, 2017
Imprint: Kogan Page Language: English
Author: Dr Steven Struhl
ISBN: 9780749479565
Publisher: Kogan Page
Publication: April 3, 2017
Imprint: Kogan Page
Language: English

The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. ***Artificial Intelligence Marketing and Predicting Consumer Choice***serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field.

Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. ***Artificial Intelligence Marketing and Predicting Consumer Choice***serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field.

Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

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