Naive Bayes sailkatzaile

Ikasketa automatikoa eta Datu-meatzaritza
Problemak Classification Multzokatzea Erregresioa Anomaly detection AutoML Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank Grammar induction
Ikasketa gainbegiratua Zuhaitzak Ensembles Bagging Boosting Random forest k-NN Karratu txikienen erregresio zuzen Naive Bayes Neurona-sareak Erregresio logistiko Perceptron Relevance vector machine (RVM) (SVM)
Multzokatzea BIRCH CURE Hierarkikoa k-means Expectation–maximization (EM)
Dimensionality reduction Faktore-analisi Korrelazio kanoniko ICA LDA NMF PCA t-SNE
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection k-NN Local outlier factor
Neurona-sare artifizial Autoencoder Ikaskuntza sakon DeepDream Multilayer perceptron RNN LSTM GRU) Restricted Boltzmann machine SOM Convolutional neural network U-Net
Reinforcement learning Q-learning SARSA Temporal difference (TD)
Theory Bias-variance dilemma Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues NIPS ICML ML JMLR ArXiv:cs.LG
Glossary of artificial intelligence Glossary of artificial intelligence
Related articles List of datasets for machine-learning research Outline of machine learning
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Datu meatzaritzan, Naive Bayes sailkatzailea Bayes-en teoreman eta aldagaien arteko independentziaren hipotesian oinarritzen den sailkatzaile probabilistiko bat da. Aldagaiak independente direla suposatzeak eragiten duen sinplifikazioagatik hartzen du, hain zuzen ere, Naive izena.