Machine Learning Fundamentals
Posterior Distribution
In Bayesian methods, the updated belief about parameters after observing data.
This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.
Related Concepts
- Bayesian Inference
- Prior
- Likelihood
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machine-learning-fundamentals bayesian-inference prior likelihood