Machine Learning in Marketing, Pearson Originals Edition, 1st edition

Published by Pearson Learning Solutions (January 15, 2023) © 2023

  • Steven Lu
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Title overview

This ebook is about the machine learning in marketing. Machine learning has been used in many different fields including marketing. Commonly used machine learning methods in marketing is introduced. This ebook can be used for individual studies or, for a course on machine learning in marketing. The ebook is designed in a highly practical way with many real world marketing examples and Python program. It is designed even for marketers who do not have much knowledge in Python. Users can simply replace the sample data with their own data for machine learning analysis. The focus is on the interpretation of the results.

Student resources:

Python Programs - Checkpoints >

Python Programs - Chapters with answers & without answers >

Chapter 2 LinkedIn - data descriptions >

Python Programs - Data Set: Top Shop Part 1 >

Python Programs - Data Set: Top Shop Part 2 >

Python Programs - Data Set: Top Shop Part 3 >

Python Programs - Data Set: Dior Part 1 >

Python Programs - Data Set: Dior Part 2 >

Python Programs - Data Set: Dior Part 3 >

Python Programs - Additional Data >

Table of contents

  • Chapter 1: Introduction to Machine Learning
  • Chapter 2: Logit Models
  • Chapter 3: Random Forests
  • Chapter 4: Boosting
  • Chapter 5: Support Vector Machines
  • Chapter 6: Recommender Systems
  • Chapter 7: Text Data
  • Chapter 8: Topic Modelling and Sentiment Analysis
  • Chapter 9: Social Network Analysis
  • Chapter 10: Image and Video Analytics

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