Machine Learning Fundamentals · Supervised learning

Naive Bayes

A probabilistic classifier that (naively) assumes every feature is independent of the others given the class.

Also known as: Bayes classifier.

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• Types of ML problems: The basic split between supervised (labeled examples), unsupervised (no labels), and reinforcement learning.

Related topics

• Logistic regression: A linear model adapted for classification by squashing its output into a probability.