Machine Learning Fundamentals
PAC Learning
Probably Approximately Correct - a theoretical framework for analyzing learning algorithm guarantees.
This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.
Related Concepts
- Learning Theory
- Generalization
- Sample Complexity
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machine-learning-fundamentals learning-theory generalization sample-complexity