Machine Learning
281 views
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
Supervised Learning
Learning from labeled training data with input-output pairs
Linear Regression
Modeling variable relationships by fitting a linear equation
Online Learning
Updating models incrementally as new data arrives
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Boosting
Sequentially combining weak learners correcting previous errors
Logistic Regression
Statistical model estimating binary outcome probabilities