Question

A retail company has a large dataset of customer purchase histories but no predefined categories or labels. The marketing team wants to automatically discover natural groupings of customers who behave similarly, so they can design targeted campaigns. Which machine learning approach best fits this need?

Accepted Answer

Unsupervised learning, which finds patterns and clusters in data without labeled outcomes

Answer

Supervised learning, because the model can predict which campaign each customer prefers

Answer

Reinforcement learning, which optimizes actions through trial-and-error rewards

Answer

A pre-trained sentiment analysis API to classify customer emotions