Learning
Unsupervised learning
Supervised learning
None of the mentioned
Answer is Wrong!
Answer is Right!
The correct answer is: C. Supervised learning
Supervised learning is a type of machine learning where the model is trained on a set of labeled data. The model learns to map inputs to outputs by finding a function that minimizes the loss function. The loss function is
a measure of how well the model’s predictions match the labels.Supervised learning is a powerful tool for object recognition. It can be used to train models to recognize objects in images, videos, and even text. Supervised learning has been used to create state-of-the-art object recognition systems.
Here is a brief explanation of each option:
- Learning is a general term that refers to the acquisition of knowledge or skills. In the context of machine learning, learning refers to the process of a model improving its performance on a task over time.
- Unsupervised learning is a type of machine learning where the model is not trained on labeled data. The model learns to find patterns in the data without any guidance. Unsupervised learning is often used for tasks such as clustering and dimensionality reduction.
- None of the mentioned is not a correct answer.