Câu 7: RAI: Risk and Artificial Intelligence

An analyst is developing a model to classify daily retail transactions data into different categories. Only a small fraction of the data has been manually reviewed and labeled. The analyst wants to take advantage of the full dataset without manually labeling each transaction. Which of the following approaches is most appropriate?

1. A. Unsupervised learning, because it can group transaction patterns without labels.
2. B. Semi-supervised learning, because it uses both labeled data and unlabeled data. — đáp án hiện tại
3. C. Reinforcement learning, because it can learn through repeated daily interaction.
4. D. Supervised learning, because it can predict labels from unlabeled data.