What are some real-world applications of supervised learning?
Supervised learning is widely used in various fields. For example, in healthcare, it helps in diagnosing diseases by analyzing patient data.
Can you give me more examples in finance?
Sure! In finance, supervised learning is used for credit scoring, fraud detection, and algorithmic trading.
How does it work in fraud detection?
In fraud detection, supervised learning algorithms are trained on historical transaction data labeled as 'fraud' or 'not fraud' to identify patterns.
What algorithms are commonly used?
Common algorithms include logistic regression, decision trees, and support vector machines, each with its strengths depending on the data.
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