Question
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.
Which methodology should the company use to meet these requirements?
- A. Supervised learning
- B. Unsupervised learning Correct
- C. Reinforcement learning
- D. Reinforcement learning from human feedback (RLHF)
Explanation
The correct answer is B, unsupervised learning. According to AWS documentation, unsupervised learning is used for tasks where the data has no labels and the goal is to find hidden patterns or intrinsic structures in the input data, such as customer segmentation into tiers without predefined labels.
