Question

which of the following is a common application of supervised learning? a recommendation based on user preferences teaching a robot to play soccer identifying spam emails clustering customers based on buying habits

Explanation:

Supervised learning uses labeled data to predict outcomes. Recommending items based on user preferences uses historical user - item interaction data (labeled in terms of likes/dislikes etc.) to make predictions. Teaching a robot to play soccer is more related to reinforcement learning. Identifying spam emails uses labeled email data (spam or not - spam) which is a common supervised learning task. Clustering customers based on buying habits is an unsupervised learning task as it doesn't use labeled data but rather finds patterns in unlabeled data.

Answer:

Identifying spam emails, Recommending items based on user preferences