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
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Clustering
Grouping similar data points based on feature similarity
Model Selection
Choosing the best ML model from candidates
Feature Engineering
Creating and transforming input variables to improve performance
Supervised Learning
Learning from labeled training data with input-output pairs
Logistic Regression
Statistical model estimating binary outcome probabilities