What are some applications of supervised learning?
Supervised learning is widely used in various fields. For instance, it's used in email filtering to classify spam and non-spam emails.
Can you give me more examples?
Sure! It's also used in image recognition, where algorithms are trained to identify objects in pictures, and in medical diagnosis to predict diseases based on patient data.
How does it work in medical diagnosis?
In medical diagnosis, supervised learning algorithms analyze historical patient data with known outcomes to learn patterns that can predict future diagnoses.
What are the challenges of using supervised learning?
Some challenges include the need for large labeled datasets, the risk of overfitting, and ensuring the model generalizes well to new data.
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