Question

Which of the following scenarios best represents a supervised learning problem?

Select one:
a. Predicting the stock market trends without historical data.
b. Identifying handwritten digits in an image dataset labeled with their corresponding numbers.
c. Grouping similar documents together based on their content.
d. Analyzing social media trends for anomaly detection.

Answer 1

The best example of a supervised learning problem is identifying handwritten digits in a labeled image dataset because the model is trained on explicitly tagged data to make future predictions. The correct option is b.

Step-by-step explanation:

The scenario that best represents a supervised learning problem is b. Identifying handwritten digits in an image dataset labeled with their corresponding numbers.

Supervised learning is a type of machine learning where a model is trained on labeled data.

The model learns from the data that is explicitly tagged with the correct answer, allowing the model to make predictions on new, unseen data based on the patterns it has learned from the training data.

For example, when training a model to recognize handwritten digits, the model would be given many examples of handwritten '1's, '2's, '3's, etc., each labeled with their respective digit.

The model would use this information to understand the features associated with each digit and then be able to identify the digits in new images. The correct option is b.