Machine Learning Fundamentals
Gaussian Process
A non-parametric Bayesian approach for regression and classification, defining distributions over functions.
This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.
Related Concepts
- Bayesian Inference
- Kernel Method
- Uncertainty Quantification
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machine-learning-fundamentals bayesian-inference kernel-method uncertainty-quantification