… ” OR “neural network” OR “artificial intelligence”) AND TS= (“marketing” OR “retailing”). A …
marketing based on the 7Ps marketing mix, articles that were not related to the 7Ps marketing …

… Machine learning (ML) refers to the study of methods or … Academic research in marketing
has traditionally focused on … predictions is also important to marketing practices. For example, …

… marketing, where its penetration has not been as fast. This study explores the adoption of ML
methods in marketing … type of application and the machine learning method had a variation …

… marketing research to leverage machine learning methods. We provide an overview of
common machine learning … methods that marketing researchers traditionally use. We argue that …

… learning, reinforcement learning, unsupervised learning, and hybrid methods. Finally, we found
that the main marketing problems solved with machine learning … , marketing segmentation…

… As this monograph will discuss, the fundamental goal of machine learning is to generalize
beyond the examples provided by training data, looking for generalizability (Domingos, 2012). …

… how machine learning will affect digital marketing, our findings specifically show what capabilities
should be built in the machines … marketing by machine learning with traditional forms of …

… also introduces important challenges to the marketing … of machine learning in marketing.
Specifically, we provide an overview of typical machine learning applications in marketing and …

… from data and recommend strategic marketing actions. This paper shows how marketing
educators can introduce AI and ML concepts in their marketing classes and incorporate a cloud-…

… in machine learning (ML) based marketing models. Although the dramatic growth of algorithmic
decision making continues to gain momentum in marketing… bias in marketing, drawing on …