mathematical model linear regression regression analysis hyperparameter machine translation optical character recognition computer vision hidden Markov model Bayesian network support vector machine gépi tanulás deep learning convolutional neural network recurrent neural network logistic regression cluster analysis natural language processing reinforcement learning artificial neural network supervised learning unsupervised learning pattern recognition evolutionary algorithm speech recognition stochastic matrix crowdsourcing genetic algorithm vicarious zeroth search engine factor analysis search engine optimization customer relationship management golem shogun principal component analysis backpropagation overfitting decision tree graphics processing unit automatic differentiation scikit-learn learning curve matlab named-entity recognition language model loss function reasoning system random forest reinforcement learning from human feedback reservoir computing radial basis function network restricted Boltzmann machine similarity learning statistical classification spiking neural network statistical relational learning swarm intelligence temporal difference learning vision processing unit bag-of-words model automated machine learning Boltzmann machine artificial immune system adaptive neuro fuzzy inference system case-based reasoning activation function action model learning decision tree learning bees algorithm dimensionality reduction bias–variance tradeoff computational learning theory concept drift deductive classifier ensemble averaging error-driven learning evolving classification function fast-and-frugal trees feature extraction feature learning feature selection developmental robotics diffusion model computer-automated design constrained conditional model junction tree algorithm kernel method eager learning echo state network generative adversarial network genetic operator decision boundary long short-term memory lazy learning naive Bayes classifier neuromorphic engineering offline learning online machine learning ontology learning particle swarm optimization autoencoder social engineering queueing theory user behavior analytics anomaly detection bioinformatics artificial bee colony algorithm k-nearest neighbors algorithm soft computing inductive programming transfer learning multi-agent reinforcement learning feedforward neural network DBSCAN structured prediction stochastic gradient descent conditional random field bootstrap aggregating confusion matrix canonical correlation expectation–maximization algorithm DeepDream AlexNet association rule learning density estimation active learning apprenticeship learning batch learning coefficient of determination data cleaning feature engineering fuzzy clustering ensemble learning empirical risk minimization grammar induction hierarchical clustering generative model curriculum learning graphical model human-in-the-loop independent component analysis isolation forest kernel machines k-means clustering memtransistor non-negative matrix factorization Mamba rule-based machine learning topological deep learning self-supervised learning statistical learning theory relevance vector machine occam learning mean shift Vapnik–Chervonenkis theory vision transformer probably approximately correct learning sparse dictionary learning q-learning semi-supervised learning proper generalized decomposition CURE algorithm learning to rank multimodal learning neural radiance field local outlier factor gated recurrent unit linear discriminant analysis random sample consensus receiver operating characteristic state–action–reward–state–action ruantum machine learning neuro-symbolic AI t-distributed stochastic neighbor embedding