AI Terms
Definition: Supervised learning is a type of machine learning where the algorithm is trained on a dataset with labeled examples.
Detailed Description:
In supervised learning, the algorithm learns a mapping function between input features and output labels. This allows the model to predict the output for new, unseen data.
Common supervised learning tasks include:
Supervised learning algorithms include:
Related Terms:
FAQs:
What is the difference between supervised and unsupervised learning?
What are some common applications of supervised learning?
What are the challenges of supervised learning?
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