Checkout

Total items: 0

Subtotal excl delivery & tax: £
Menu
Search

Artificial Intelligence Marketing and Predicting Consumer Choice

An Overview of Tools and Techniques

Compare and contrast the widely differing approaches to predictive analytics and predicting consumer choice with this comprehensive guide to marketing analytics.
    Paperback£19.99
    Ebook£16.66
    Print and ebook bundle£25.00
EAN: 9780749479558
Edition: 1
Published:
Paperback
Format: 234x157
272 pages
    About the book
    Table of contents
    Reviews
    Supporting resources

About the book

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.

About the authors

Steven Struhl

Dr. Steven Struhl PhD, MBA, MA has more than 25 years' experience in consulting and research, specialising in practical solutions based on statistical models of decision-making and behaviour. In addition to text analytics and data mining, his work addresses how buying decisions are made, optimising service delivery and product configurations and finding the meaningful differences among products and services.

More about Steven Struhl

Full of hard-won practical wisdom, this is a comprehensive guide to navigating the complexity of market forecasting. Foregoing the hyperbole that so often characterizes discussions of artificial intelligence, Dr. Struhl thoroughly explains a wide range of methods, where their difficulties lie, and how to get the best insights from each.

Peter Goldstein, Software Engineer, Google