Machine Learning
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Naive Bayes
Quick Definition
Probabilistic classifier using Bayes theorem with independence
Full Definition
A probabilistic classifier based on Bayes theorem with the assumption of feature independence.
Examples
spam filtering, text classification, sentiment analysis
Related Terms
bayesian-learning
classification
More Machine Learning Terms
Regularization
Techniques constraining model complexity to prevent overfitting
Margin
Distance between decision boundary and nearest data points
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Hidden Markov Model
Statistical model with hidden states and observable outputs
Bagging
Training models on random subsets and averaging predictions