What are the applications of supervised learning in AI?

What are the applications of supervised learning in AI?

Supervised learning is widely used in various fields. Some key applications include image recognition, spam detection, and medical diagnosis.

Can you explain how supervised learning is used in image recognition?

In image recognition, supervised learning algorithms are trained on labeled datasets, where each image is tagged with the correct label. This helps the model learn to identify and classify images accurately.

What about its use in spam detection?

In spam detection, supervised learning models are trained on emails labeled as 'spam' or 'not spam'. The model learns to classify new emails based on features extracted from the training data.

Are there any limitations to supervised learning?

Yes, supervised learning requires a large amount of labeled data, which can be expensive and time-consuming to obtain. Additionally, it may not perform well on unseen data if the training data is not representative.