Artificial Intelligence Marketing and Predicting Consumer Choice
An Overview of Tools and Techniques
Nonfiction, Computers, Database Management, Data Processing, Business & Finance, Marketing & Sales
| 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.
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.
