gaussian

Naive Bayes Variants: Gaussian vs Multinomial vs Bernoulli

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Naive Bayes classifiers are among the most elegant algorithms in machine learning—simple in concept, fast in execution, and surprisingly effective across diverse applications. The “naive” assumption that features are conditionally independent given the class label seems unrealistic, yet in practice, Naive Bayes often performs competitively with far more complex models. However, not all Naive Bayes … Read more

What is Gaussian Process Regression?

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Gaussian Process Regression (GPR) represents one of the most elegant and powerful approaches in machine learning, yet it remains less understood than neural networks or decision trees. At its core, GPR is a non-parametric Bayesian approach to regression that doesn’t just predict values—it provides a full probability distribution over possible functions that could fit your … Read more