Q55 — AWS AIF-C01 Ch.3
Question 55 of 100 | ← Chapter 3
Using labeled data to train a car to recognize traffic signals, signs, and objects.
- A. Unsupervised learning
- B. Semi-supervised learning
- C. Supervised learning ✓
Correct Answer: C. Supervised learning
Explanation
Supervised learning is a machine learning approach that trains models using labeled data, where each sample is associated with a correct answer or class label. In training a vehicle to recognize traffic signals, signs, and objects, labeled data refers to image datasets annotated with corresponding traffic signal, sign, and object categories. Through training, the model learns distinguishing features from these labeled examples, enabling accurate recognition of new images. Therefore, training a vehicle to recognize traffic signals, signs, and objects using labeled data falls under supervised learning.