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• Data mining (links | edit)
• Support vector machine (links | edit)
• Reinforcement learning (links | edit)
• Principal component analysis (links | edit)
• Self-organizing map (links | edit)
• Boosting (machine learning) (links | edit)
• Pattern recognition (links | edit)
• Chatbot (links | edit)
• Perceptron (links | edit)
• Overfitting (links | edit)
• Gradient descent (links | edit)
• Machine learning (links | edit)
• Unsupervised learning (links | edit)
• Vapnik–Chervonenkis theory (links | edit)
• Canonical correlation (links | edit)
• Probably approximately correct learning (links | edit)
• Computational learning theory (links | edit)
• Graphical model (links | edit)
• Expectation–maximization algorithm (links | edit)
• Hierarchical clustering (links | edit)
• Naive Bayes spam filtering (links | edit)
• Decision tree learning (links | edit)
• Association rule learning (links | edit)
• Independent component analysis (links | edit)
• Cluster analysis (links | edit)
• Curse of dimensionality (links | edit)
• Regression analysis (links | edit)
• Statistical learning theory (links | edit)
• Random sample consensus (links | edit)
• Conference on Neural Information Processing Systems (links | edit)
• Stochastic gradient descent (links | edit)
• Temporal difference learning (links | edit)
• Q-learning (links | edit)
• Feature (machine learning) (links | edit)
• Bootstrap aggregating (links | edit)
• Backpropagation (links | edit)
• Random forest (links | edit)
• Empirical risk minimization (links | edit)
• Training, validation, and test data sets (links | edit)
• Proper orthogonal decomposition (links | edit)
• AdaBoost (links | edit)
• Recurrent neural network (links | edit)
• Feedforward neural network (links | edit)
• K-means clustering (links | edit)
• Language model (links | edit)
• Multilayer perceptron (links | edit)
• Fuzzy clustering (links | edit)
• Feature (computer vision) (links | edit)
• Double descent (links | edit)
• Kernel method (links | edit)