MLSC 2025SH Lesson 02

You are hired by an insurance company to build a model that predicts the likelihood of customers filing claims in the next year based on their profile and past behavior.

• semi-supervised learning

• supervised learning

• unsupervised learning

• reinforcement learning

A music streaming service wants to improve user engagement by generating dynamic, personalized playlists without labeled data on user preferences.

• semi-supervised learning

• supervised learning

• unsupervised learning

• reinforcement learning

You are designing a warehouse robot that learns how to pick and place items optimally while minimizing time and avoiding obstacles.

• semi-supervised learning

• supervised learning

• unsupervised learning

• reinforcement learning

An ed-tech company has a large dataset of student activity logs on its learning platform. Only a small portion of this data is labeled with student performance levels (e.g., "Excellent", "Average", "Needs Improvement").

• semi-supervised learning

• supervised learning

• unsupervised learning

• reinforcement learning

A news analytics startup wants to detect fake news articles. They have a small set of articles labeled as “Fake” or “Real”, and a massive pool of unlabeled news articles.

• semi-supervised learning

• supervised learning

• unsupervised learning

• reinforcement learning