Machine Learning in Marketing

Machine Learning in Marketing: Pearson Originals Edition, 1st Edition, is a practical textbook that introduces machine learning methods and their direct applications in commercial settings. The work connects computational tools to real-world marketing problems through applied business workflows.

The book examines classical predictive modeling alongside contemporary analytical methods for recommendation engines, unstructured text, social connections, and visual media.

Structured for university course adoption or individual study, the text accommodates readers who possess minimal prior Python experience. Marketers learn to execute analytical routines by substituting the supplied sample datasets with their own data, keeping the main emphasis on evaluating and interpreting practical results.