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.