Artificial Intelligence Marketing and Predicting Consumer Choice: An Overview of Tools and Techniques

Struhl, Dr Steven

ISBN 10: 0749479558 / ISBN 13: 9780749479558

Published by Kogan Page, 2017

About this Item

This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ happy reading!

Seller Inventory # STM.3FW

Bibliographic Details

• Title: Artificial Intelligence Marketing and Predicting Consumer Choice: An Overview of Tools and Techniques
• Publisher: Kogan Page
• Publication Date: 2017
• Language: English
• ISBN 10: 0749479558
• ISBN 13: 9780749479558
• Binding: Soft cover
• Condition: good

About this title

Synopsis

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 Author

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.

Steven Struhl also has taught graduate courses on statistical methods and data analysis. He speaks at conferences and has given numerous seminars on pricing, choice modelling, market segmentation and presenting data.