Supervised Learning
AI/ML Fundamentals
Training with labeled data (input + correct output)
What is Supervised Learning?
Learning from labeled examples where both input and desired output are provided. The algorithm learns the relationship to predict outputs for new inputs.
Real-World Examples
- •Spam classification (emails labeled spam/not spam)
- •House price prediction
- •Medical diagnosis
When to Use This
When you have labeled training data and want to predict similar outcomes
Related Terms
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