machine learning

machine learning (tsz. machine learnings)

1. (informatika, mesterséges intelligencia, gépi tanulás) gépi tanulás

• machine learning - Szótár.net (en-hu)
• machine learning - Sztaki (en-hu)
• machine learning - Merriam–Webster
• machine learning - Cambridge
• machine learning - WordNet
• machine learning - Яндекс (en-ru)
• machine learning - Google (en-hu)
• machine learning - Wikidata
• machine learning - Wikipédia (angol)

Sablon:short description Sablon:dynamic list Sablon:machine learning bar the following outline is provided as an overview of and topical guide to machine learning:

machine learning – a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.^[1] in 1959, arthur samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed".^[2] machine learning involves the study and construction of algorithms that can learn from and make predictions on data.^[3] these algorithms operate by building a model from an example training set of input observations to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.

Sablon:toc limit

• an academic discipline
• a branch of science
  • an applied science
    • a subfield of computer science
      • a branch of artificial intelligence
      • a subfield of soft computing
      • application of statistics

• supervised learning - where the model is trained on labeled data.
• unsupervised learning - where the model tries to identify patterns in unlabeled data
• reinforcement learning - where the model learns to make decisions by receiving rewards or penalties

• applications of machine learning
• bioinformatics
• biomedical informatics
• computer vision
• customer relationship management –
• data mining
• earth sciences
• email filtering
• inverted pendulum – balance and equilibrium system.
• natural language processing (nlp)
  • named entity recognition
  • automatic summarization
  • automatic taxonomy construction
  • dialog system
  • grammar checker
  • language recognition
    • handwriting recognition
    • optical character recognition
    • speech recognition
      • text to speech synthesis (tts)
      • speech emotion recognition (ser)
  • machine translation
  • question answering
  • speech synthesis
  • text mining
    • term frequency–inverse document frequency (tf–idf)
  • text simplification
• pattern recognition
  • facial recognition system
  • handwriting recognition
  • image recognition
  • optical character recognition
  • speech recognition
• recommendation system
  • collaborative filtering
  • content-based filtering
  • hybrid recommender systems (collaborative and content-based filtering)
• search engine
  • search engine optimization
• social engineering

• graphics processing unit
• tensor processing unit
• vision processing unit

• comparison of deep learning software

• amazon machine learning
• microsoft azure machine learning studio
• distbelief – replaced by tensorflow

• apache singa
• apache mxnet
• caffe
• pytorch
• mlpack
• tensorflow
• torch
• cntk
• accord.net
• jax
• mlj.jl – a machine learning framework for julia

• deeplearning4j
• theano
• scikit-learn
• keras

• almeida–pineda recurrent backpropagation
• alopex
• backpropagation
• bootstrap aggregating
• cn2 algorithm
• constructing skill trees
• dehaene–changeux model
• diffusion map
• dominance-based rough set approach
• dynamic time warping
• error-driven learning
• evolutionary multimodal optimization
• expectation–maximization algorithm
• fastica
• forward–backward algorithm
• generec
• genetic algorithm for rule set production
• growing self-organizing map
• hyper basis function network
• idistance
• k-nearest neighbors algorithm
• kernel methods for vector output
• kernel principal component analysis
• leabra
• linde–buzo–gray algorithm
• local outlier factor
• logic learning machine
• logitboost
• manifold alignment
• markov chain monte carlo (mcmc)
• minimum redundancy feature selection
• mixture of experts
• multiple kernel learning
• non-negative matrix factorization
• online machine learning
• out-of-bag error
• prefrontal cortex basal ganglia working memory
• pvlv
• q-learning
• quadratic unconstrained binary optimization
• query-level feature
• quickprop
• radial basis function network
• randomized weighted majority algorithm
• reinforcement learning
• repeated incremental pruning to produce error reduction (ripper)
• rprop
• rule-based machine learning
• skill chaining
• sparse pca
• state–action–reward–state–action
• stochastic gradient descent
• structured knn
• t-distributed stochastic neighbor embedding
• temporal difference learning
• wake-sleep algorithm
• weighted majority algorithm (machine learning)

• k-nearest neighbors algorithm (knn)
• learning vector quantization (lvq)
• self-organizing map (som)

• logistic regression
• ordinary least squares regression (olsr)
• linear regression
• stepwise regression
• multivariate adaptive regression splines (mars)
• regularization algorithm
  • ridge regression
  • least absolute shrinkage and selection operator (lasso)
  • elastic net
  • least-angle regression (lars)
• classifiers
  • probabilistic classifier
    • naive bayes classifier
  • binary classifier
  • linear classifier
  • hierarchical classifier

dimensionality reduction

• canonical correlation analysis (cca)
• factor analysis
• feature extraction
• feature selection
• independent component analysis (ica)
• linear discriminant analysis (lda)
• multidimensional scaling (mds)
• non-negative matrix factorization (nmf)
• partial least squares regression (plsr)
• principal component analysis (pca)
• principal component regression (pcr)
• projection pursuit
• sammon mapping
• t-distributed stochastic neighbor embedding (t-sne)

ensemble learning

• adaboost
• boosting
• bootstrap aggregating (bagging)
• ensemble averaging – process of creating multiple models and combining them to produce a desired output, as opposed to creating just one model. frequently an ensemble of models performs better than any individual model, because the various errors of the models "average out."
• gradient boosted decision tree (gbdt)
• gradient boosting machine (gbm)
• random forest
• stacked generalization (blending)

meta-learning

• inductive bias
• metadata

reinforcement learning

• q-learning
• state–action–reward–state–action (sarsa)
• temporal difference learning (td)
• learning automata

supervised learning

• averaged one-dependence estimators (aode)
• artificial neural network
• case-based reasoning
• gaussian process regression
• gene expression programming
• group method of data handling (gmdh)
• inductive logic programming
• instance-based learning
• lazy learning
• learning automata
• learning vector quantization
• logistic model tree
• minimum message length (decision trees, decision graphs, etc.)
  • nearest neighbor algorithm
  • analogical modeling
• probably approximately correct learning (pac) learning
• ripple down rules, a knowledge acquisition methodology
• symbolic machine learning algorithms
• support vector machines
• random forests
• ensembles of classifiers
  • bootstrap aggregating (bagging)
  • boosting (meta-algorithm)
• ordinal classification
• conditional random field
• anova
• quadratic classifiers
• k-nearest neighbor
• boosting
  • sprint
• bayesian networks
  • naive bayes
• hidden markov models
  • hierarchical hidden markov model

bayesian statistics

• bayesian knowledge base
• naive bayes
• gaussian naive bayes
• multinomial naive bayes
• averaged one-dependence estimators (aode)
• bayesian belief network (bbn)
• bayesian network (bn)

decision tree algorithm

• decision tree
• classification and regression tree (cart)
• iterative dichotomiser 3 (id3)
• c4.5 algorithm
• c5.0 algorithm
• chi-squared automatic interaction detection (chaid)
• decision stump
• conditional decision tree
• id3 algorithm
• random forest
• sliq

linear classifier

• fisher's linear discriminant
• linear regression
• logistic regression
• multinomial logistic regression
• naive bayes classifier
• perceptron
• support vector machine

unsupervised learning

• expectation-maximization algorithm
• vector quantization
• generative topographic map
• information bottleneck method
• association rule learning algorithms
  • apriori algorithm
  • eclat algorithm

artificial neural network

• feedforward neural network
  • extreme learning machine
  • convolutional neural network
• recurrent neural network
  • long short-term memory (lstm)
• logic learning machine
• self-organizing map

association rule learning

• apriori algorithm
• eclat algorithm
• fp-growth algorithm

hierarchical clustering

• single-linkage clustering
• conceptual clustering

cluster analysis

• birch
• dbscan
• expectation–maximization (em)
• fuzzy clustering
• hierarchical clustering
• k-means clustering
• k-medians
• mean-shift
• optics algorithm

anomaly detection

• k-nearest neighbors algorithm (k-nn)
• local outlier factor

semi-supervised learning

• active learning – special case of semi-supervised learning in which a learning algorithm is able to interactively query the user (or some other information source) to obtain the desired outputs at new data points.^[4][5]
• generative models
• low-density separation
• graph-based methods
• co-training
• transduction

deep learning

• deep belief networks
• deep boltzmann machines
• deep convolutional neural networks
• deep recurrent neural networks
• hierarchical temporal memory
• generative adversarial network
  • style transfer
• transformer
• stacked auto-encoders

• anomaly detection
• association rules
• bias-variance dilemma
• classification
  • multi-label classification
• clustering
• data pre-processing
• empirical risk minimization
• feature engineering
• feature learning
• learning to rank
• occam learning
• online machine learning
• pac learning
• regression
• reinforcement learning
• semi-supervised learning
• statistical learning
• structured prediction
  • graphical models
    • bayesian network
    • conditional random field (crf)
    • hidden markov model (hmm)
• unsupervised learning
• vc theory

• list of artificial intelligence projects
• list of datasets for machine learning research

history of machine learning

• timeline of machine learning

machine learning projects

• deepmind
• google brain
• openai
• meta ai

machine learning organizations

• artificial intelligence and security (aisec) (co-located workshop with ccs)
• conference on neural information processing systems (nips)
• ecml pkdd
• international conference on machine learning (icml)
• ml4all (machine learning for all)

• mathematics for machine learning
• hands-on machine learning scikit-learn, keras, and tensorflow
• the hundred-page machine learning book

• machine learning
• journal of machine learning research (jmlr)
• neural computation

• alberto broggi
• andrei knyazev
• andrew mccallum
• andrew ng
• anuraag jain
• armin b. cremers
• ayanna howard
• barney pell
• ben goertzel
• ben taskar
• bernhard schölkopf
• brian d. ripley
• christopher g. atkeson
• corinna cortes
• demis hassabis
• douglas lenat
• eric xing
• ernst dickmanns
• geoffrey hinton – co-inventor of the backpropagation and contrastive divergence training algorithms
• hans-peter kriegel
• hartmut neven
• heikki mannila
• ian goodfellow – father of generative & adversarial networks
• jacek m. zurada
• jaime carbonell
• jeremy slovak
• jerome h. friedman
• john d. lafferty
• john platt – invented smo and platt scaling
• julie beth lovins
• jürgen schmidhuber
• karl steinbuch
• katia sycara
• leo breiman – invented bagging and random forests
• lise getoor
• luca maria gambardella
• léon bottou
• marcus hutter
• mehryar mohri
• michael collins
• michael i. jordan
• michael l. littman
• nando de freitas
• ofer dekel
• oren etzioni
• pedro domingos
• peter flach
• pierre baldi
• pushmeet kohli
• ray kurzweil
• rayid ghani
• ross quinlan
• salvatore j. stolfo
• sebastian thrun
• selmer bringsjord
• sepp hochreiter
• shane legg
• stephen muggleton
• steve omohundro
• tom m. mitchell
• trevor hastie
• vasant honavar
• vladimir vapnik – co-inventor of the svm and vc theory
• yann lecun – invented convolutional neural networks
• yasuo matsuyama
• yoshua bengio
• zoubin ghahramani

• outline of artificial intelligence
  • outline of computer vision
• outline of robotics
• accuracy paradox
• action model learning
• activation function
• activity recognition
• adaline
• adaptive neuro fuzzy inference system
• adaptive resonance theory
• additive smoothing
• adjusted mutual information
• aiva
• aixi
• alchemyapi
• alexnet
• algorithm selection
• algorithmic inference
• algorithmic learning theory
• alphago
• alphago zero
• alternating decision tree
• apprenticeship learning
• causal markov condition
• competitive learning
• concept learning
• decision tree learning
• differentiable programming
• distribution learning theory
• eager learning
• end-to-end reinforcement learning
• error tolerance (pac learning)
• explanation-based learning
• feature
• glove
• hyperparameter
• inferential theory of learning
• learning automata
• learning classifier system
• learning rule
• learning with errors
• m-theory (learning framework)
• machine learning control
• machine learning in bioinformatics
• margin
• markov chain geostatistics
• markov chain monte carlo (mcmc)
• markov information source
• markov logic network
• markov model
• markov random field
• markovian discrimination
• maximum-entropy markov model
• multi-armed bandit
• multi-task learning
• multilinear subspace learning
• multimodal learning
• multiple instance learning
• multiple-instance learning
• never-ending language learning
• offline learning
• parity learning
• population-based incremental learning
• predictive learning
• preference learning
• proactive learning
• proximal gradient methods for learning
• semantic analysis
• similarity learning
• sparse dictionary learning
• stability (learning theory)
• statistical learning theory
• statistical relational learning
• tanagra
• transfer learning
• variable-order markov model
• version space learning
• waffles
• weka
• loss function
  • loss functions for classification
  • mean squared error (mse)
  • mean squared prediction error (mspe)
  • taguchi loss function
• low-energy adaptive clustering hierarchy

• anne o'tate
• ant colony optimization algorithms
• anthony levandowski
• anti-unification (computer science)
• apache flume
• apache giraph
• apache mahout
• apache singa
• apache spark
• apache systemml
• aphelion (software)
• arabic speech corpus
• archetypal analysis
• arthur zimek
• artificial ants
• artificial bee colony algorithm
• artificial development
• artificial immune system
• astrostatistics
• averaged one-dependence estimators
• bag-of-words model
• balanced clustering
• ball tree
• base rate
• bat algorithm
• baum–welch algorithm
• bayesian hierarchical modeling
• bayesian interpretation of kernel regularization
• bayesian optimization
• bayesian structural time series
• bees algorithm
• behavioral clustering
• bernoulli scheme
• bias–variance tradeoff
• biclustering
• bigml
• binary classification
• bing predicts
• bio-inspired computing
• biogeography-based optimization
• biplot
• bondy's theorem
• bongard problem
• bradley–terry model
• brownboost
• brown clustering
• burst error
• cbcl (mit)
• ciml community portal
• cma-es
• cure data clustering algorithm
• cache language model
• calibration (statistics)
• canonical correspondence analysis
• canopy clustering algorithm
• cascading classifiers
• category utility
• cellcognition
• cellular evolutionary algorithm
• chi-square automatic interaction detection
• chromosome (genetic algorithm)
• classifier chains
• cleverbot
• clonal selection algorithm
• cluster-weighted modeling
• clustering high-dimensional data
• clustering illusion
• coboosting
• cobweb (clustering)
• cognitive computer
• cognitive robotics
• collostructional analysis
• common-method variance
• complete-linkage clustering
• computer-automated design
• concept class
• concept drift
• conference on artificial general intelligence
• conference on knowledge discovery and data mining
• confirmatory factor analysis
• confusion matrix
• congruence coefficient
• connect (computer system)
• consensus clustering
• constrained clustering
• constrained conditional model
• constructive cooperative coevolution
• correlation clustering
• correspondence analysis
• cortica
• coupled pattern learner
• cross-entropy method
• cross-validation (statistics)
• crossover (genetic algorithm)
• cuckoo search
• cultural algorithm
• cultural consensus theory
• curse of dimensionality
• dadisp
• darpa lagr program
• darkforest
• dartmouth workshop
• darwintunes
• data mining extensions
• data exploration
• data pre-processing
• data stream clustering
• dataiku
• davies–bouldin index
• decision boundary
• decision list
• decision tree model
• deductive classifier
• deepart
• deepdream
• deep web technologies
• defining length
• dendrogram
• dependability state model
• detailed balance
• determining the number of clusters in a data set
• detrended correspondence analysis
• developmental robotics
• diffbot
• differential evolution
• discrete phase-type distribution
• discriminative model
• dissociated press
• distributed r
• dlib
• document classification
• documenting hate
• domain adaptation
• doubly stochastic model
• dual-phase evolution
• dunn index
• dynamic bayesian network
• dynamic markov compression
• dynamic topic model
• dynamic unobserved effects model
• edlut
• elki
• edge recombination operator
• effective fitness
• elastic map
• elastic matching
• elbow method (clustering)
• emergent (software)
• encog
• entropy rate
• erkki oja
• eurisko
• european conference on artificial intelligence
• evaluation of binary classifiers
• evolution strategy
• evolution window
• evolutionary algorithm for landmark detection
• evolutionary algorithm
• evolutionary art
• evolutionary music
• evolutionary programming
• evolvability (computer science)
• evolved antenna
• evolver (software)
• evolving classification function
• expectation propagation
• exploratory factor analysis
• f1 score
• flame clustering
• factor analysis of mixed data
• factor graph
• factor regression model
• factored language model
• farthest-first traversal
• fast-and-frugal trees
• feature selection toolbox
• feature hashing
• feature scaling
• feature vector
• firefly algorithm
• first-difference estimator
• first-order inductive learner
• fish school search
• fisher kernel
• fitness approximation
• fitness function
• fitness proportionate selection
• fluentd
• folding@home
• formal concept analysis
• forward algorithm
• fowlkes–mallows index
• frederick jelinek
• frrole
• functional principal component analysis
• gatto
• glimmer
• gary bryce fogel
• gaussian adaptation
• gaussian process
• gaussian process emulator
• gene prediction
• general architecture for text engineering
• generalization error
• generalized canonical correlation
• generalized filtering
• generalized iterative scaling
• generalized multidimensional scaling
• generative adversarial network
• generative model
• genetic algorithm
• genetic algorithm scheduling
• genetic algorithms in economics
• genetic fuzzy systems
• genetic memory (computer science)
• genetic operator
• genetic programming
• genetic representation
• geographical cluster
• gesture description language
• geworkbench
• glossary of artificial intelligence
• glottochronology
• golem (ilp)
• google matrix
• grafting (decision trees)
• gramian matrix
• grammatical evolution
• granular computing
• graphlab
• graph kernel
• gremlin (programming language)
• growth function
• humant (humanoid ant) algorithm
• hammersley–clifford theorem
• harmony search
• hebbian theory
• hidden markov random field
• hidden semi-markov model
• hierarchical hidden markov model
• higher-order factor analysis
• highway network
• hinge loss
• holland's schema theorem
• hopkins statistic
• hoshen–kopelman algorithm
• huber loss
• ircf360
• ian goodfellow
• ilastik
• ilya sutskever
• immunocomputing
• imperialist competitive algorithm
• inauthentic text
• incremental decision tree
• induction of regular languages
• inductive bias
• inductive probability
• inductive programming
• influence diagram
• information harvesting
• information gain in decision trees
• information gain ratio
• inheritance (genetic algorithm)
• instance selection
• intel realsense
• interacting particle system
• interactive machine translation
• international joint conference on artificial intelligence
• international meeting on computational intelligence methods for bioinformatics and biostatistics
• international semantic web conference
• iris flower data set
• island algorithm
• isotropic position
• item response theory
• iterative viterbi decoding
• joone
• jabberwacky
• jaccard index
• jackknife variance estimates for random forest
• java grammatical evolution
• joseph nechvatal
• jubatus
• julia (programming language)
• junction tree algorithm
• k-svd
• k-means++
• k-medians clustering
• k-medoids
• knime
• kxen inc.
• k q-flats
• kaggle
• kalman filter
• katz's back-off model
• kernel adaptive filter
• kernel density estimation
• kernel eigenvoice
• kernel embedding of distributions
• kernel method
• kernel perceptron
• kernel random forest
• kinect
• klaus-robert müller
• kneser–ney smoothing
• knowledge vault
• knowledge integration
• libsvm
• lpboost
• labeled data
• languageware
• language identification in the limit
• language model
• large margin nearest neighbor
• latent dirichlet allocation
• latent class model
• latent semantic analysis
• latent variable
• latent variable model
• lattice miner
• layered hidden markov model
• learnable function class
• least squares support vector machine
• leslie p. kaelbling
• linear genetic programming
• linear predictor function
• linear separability
• lingyun gu
• linkurious
• lior ron (business executive)
• list of genetic algorithm applications
• list of metaphor-based metaheuristics
• list of text mining software
• local case-control sampling
• local independence
• local tangent space alignment
• locality-sensitive hashing
• log-linear model
• logistic model tree
• low-rank approximation
• low-rank matrix approximations
• matlab
• mimic (immunology)
• mxnet
• mallet (software project)
• manifold regularization
• margin-infused relaxed algorithm
• margin classifier
• mark v. shaney
• massive online analysis
• matrix regularization
• matthews correlation coefficient
• mean shift
• mean squared error
• mean squared prediction error
• measurement invariance
• medoid
• meemix
• melomics
• memetic algorithm
• meta-optimization
• mexican international conference on artificial intelligence
• michael kearns (computer scientist)
• minhash
• mixture model
• mlpy
• models of dna evolution
• moral graph
• mountain car problem
• movidius
• multi-armed bandit
• multi-label classification
• multi expression programming
• multiclass classification
• multidimensional analysis
• multifactor dimensionality reduction
• multilinear principal component analysis
• multiple correspondence analysis
• multiple discriminant analysis
• multiple factor analysis
• multiple sequence alignment
• multiplicative weight update method
• multispectral pattern recognition
• mutation (genetic algorithm)
• mysteryvibe
• n-gram
• nominate (scaling method)
• native-language identification
• natural language toolkit
• natural evolution strategy
• nearest-neighbor chain algorithm
• nearest centroid classifier
• nearest neighbor search
• neighbor joining
• nest labs
• netminer
• netowl
• neural designer
• neural engineering object
• neural modeling fields
• neural network software
• neurosolutions
• neuroevolution
• neuroph
• niki.ai
• noisy channel model
• noisy text analytics
• nonlinear dimensionality reduction
• novelty detection
• nuisance variable
• one-class classification
• onnx
• opennlp
• optimal discriminant analysis
• oracle data mining
• orange (software)
• ordination (statistics)
• overfitting
• progol
• psipred
• pachinko allocation
• pagerank
• parallel metaheuristic
• parity benchmark
• part-of-speech tagging
• particle swarm optimization
• path dependence
• pattern language (formal languages)
• peltarion synapse
• perplexity
• persian speech corpus
• picas (app)
• pietro perona
• pipeline pilot
• piranha (software)
• pitman–yor process
• plate notation
• polynomial kernel
• pop music automation
• population process
• portable format for analytics
• predictive model markup language
• predictive state representation
• preference regression
• premature convergence
• principal geodesic analysis
• prior knowledge for pattern recognition
• prisma (app)
• probabilistic action cores
• probabilistic context-free grammar
• probabilistic latent semantic analysis
• probabilistic soft logic
• probability matching
• probit model
• product of experts
• programming with big data in r
• proper generalized decomposition
• pruning (decision trees)
• pushpak bhattacharyya
• q methodology
• qloo
• quality control and genetic algorithms
• quantum artificial intelligence lab
• queueing theory
• quick, draw!
• r (programming language)
• rada mihalcea
• rademacher complexity
• radial basis function kernel
• rand index
• random indexing
• random projection
• random subspace method
• ranking svm
• rapidminer
• rattle gui
• raymond cattell
• reasoning system
• regularization perspectives on support vector machines
• relational data mining
• relationship square
• relevance vector machine
• relief (feature selection)
• renjin
• repertory grid
• representer theorem
• reward-based selection
• richard zemel
• right to explanation
• roboearth
• robust principal component analysis
• ruleml symposium
• rule induction
• rules extraction system family
• sas (software)
• snns
• spss modeler
• subclu
• sample complexity
• sample exclusion dimension
• santa fe trail problem
• savi technology
• schema (genetic algorithms)
• search-based software engineering
• selection (genetic algorithm)
• self-service semantic suite
• semantic folding
• semantic mapping (statistics)
• semidefinite embedding
• sense networks
• sensorium project
• sequence labeling
• sequential minimal optimization
• shattered set
• shogun (toolbox)
• silhouette (clustering)
• simhash
• simrank
• similarity measure
• simple matching coefficient
• simultaneous localization and mapping
• sinkov statistic
• sliced inverse regression
• snakes and ladders
• soft independent modelling of class analogies
• soft output viterbi algorithm
• solomonoff's theory of inductive inference
• solveit software
• spectral clustering
• spike-and-slab variable selection
• statistical machine translation
• statistical parsing
• statistical semantics
• stefano soatto
• stephen wolfram
• stochastic block model
• stochastic cellular automaton
• stochastic diffusion search
• stochastic grammar
• stochastic matrix
• stochastic universal sampling
• stress majorization
• string kernel
• structural equation modeling
• structural risk minimization
• structured sparsity regularization
• structured support vector machine
• subclass reachability
• sufficient dimension reduction
• sukhotin's algorithm
• sum of absolute differences
• sum of absolute transformed differences
• swarm intelligence
• switching kalman filter
• symbolic regression
• synchronous context-free grammar
• syntactic pattern recognition
• td-gammon
• timit
• teaching dimension
• teuvo kohonen
• textual case-based reasoning
• theory of conjoint measurement
• thomas g. dietterich
• thurstonian model
• topic model
• tournament selection
• training, test, and validation sets
• transiogram
• trax image recognition
• trigram tagger
• truncation selection
• tucker decomposition
• uima
• upgma
• ugly duckling theorem
• uncertain data
• uniform convergence in probability
• unique negative dimension
• universal portfolio algorithm
• user behavior analytics
• vc dimension
• vigra
• validation set
• vapnik–chervonenkis theory
• variable-order bayesian network
• variable kernel density estimation
• variable rules analysis
• variational message passing
• varimax rotation
• vector quantization
• vicarious (company)
• viterbi algorithm
• vowpal wabbit
• waca clustering algorithm
• wpgma
• ward's method
• weasel program
• whitening transformation
• winnow (algorithm)
• win–stay, lose–switch
• witness set
• wolfram language
• wolfram mathematica
• writer invariant
• xgboost
• yooreeka
• zeroth (software)