Supervised Learning
A machine learning paradigm where models learn from labeled training data to make predictions on new, unseen data.
Related Concepts
- Classification: Explore how Classification relates to Supervised Learning
- Regression: Explore how Regression relates to Supervised Learning
- Labeled Data: Explore how Labeled Data relates to Supervised Learning
- Training Data: Explore how Training Data relates to Supervised Learning
Why It Matters
Understanding Supervised Learning is crucial for anyone working with machine learning fundamentals. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Classification
A supervised learning task where the model predicts discrete class labels (categories) for input data.
Labeled Data
Data with associated target outputs or annotations, required for supervised learning tasks.
Regression
A supervised learning task where the model predicts continuous numerical values rather than discrete categories.
Training Data
The portion of a dataset used to train a model by adjusting its parameters to minimize loss.