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
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Online Learning
Updating models incrementally as new data arrives
Cross-Validation
Evaluating model performance with multiple data splits
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Feature Selection
Identifying the most relevant features for model training
LightGBM
Fast gradient boosting framework using histogram splitting