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Analysis of variance
Analytic hierarchy process
Analytic network process
Ant colony optimization algorithms
Artificial intelligence
Artificial neural network
Association rule learning
Backward induction
Bayes estimator
Bayesian network
Bees algorithm
Bellman equation
Bellman–Ford algorithm
Best linear unbiased prediction
Bilevel optimization
BIRCH (data clustering)
Bootstrap aggregating
Boyer–Moore string search algorithm
Canadian traveller problem
Canonical correlation
Cellular automaton
Characteristic function (probability theory)
Cholesky decomposition
Cluster analysis
Clustering high-dimensional data
Confidence interval
Confrontation analysis
Consensus clustering
Constrained optimization
Convex optimization
Conway's Game of Life
Cooperative game
Correlation clustering
Correspondence analysis
Cramér–Rao bound
Critical path method
Critical point (mathematics)
Cutting stock problem
Damerau–Levenshtein distance
Decision tree
Decision tree learning
Default logic
Design of experiments
Dijkstra's algorithm
Discrete choice
Duality (optimization)
Dynamic programming
Eigendecomposition of a matrix
Eigenvalues and eigenvectors
Empirical Bayes method
Ensemble learning
Errors and residuals in statistics
Expectation–maximization algorithm
Extensive-form game
Factor analysis
Feature learning
Finite-state machine
Fisher information
Fixed effects model
Ford–Fulkerson algorithm
Game theory
Gauss–Markov theorem
General linear model
Generalized assignment problem
Generalized linear model
Generalized method of moments
Genetic algorithm
Genetic programming
Gini coefficient
Graph coloring
Graph theory
Greedy algorithm
Hessian matrix
Hungarian algorithm
Inductive logic programming
Information gain in decision trees
Information retrieval
Instrumental variable
Integer programming
Interior point method
Jacobian matrix and determinant
Jeep problem
Job shop scheduling
Kalman filter
Karush–Kuhn–Tucker conditions
Kernel method
Kernel regression
Knapsack problem
Knowledge representation and reasoning
Knuth–Morris–Pratt algorithm
Kullback–Leibler divergence
Lagrange multiplier
Lagrangian relaxation
Law of cosines
Law of cotangents
Law of sines
Law of tangents
Least absolute deviations
Least squares
Leibniz integral rule
Likelihood function
Likelihood principle
Linear complementarity problem
Linear discriminant analysis
Linear programming
Linear regression
Linear-fractional programming
Lloyd's algorithm
Local regression
Logistic regression
Low-rank approximation
LU decomposition
Machine translation
Markov chain
Markov decision process
Mathematical optimization
Matrix calculus
Maximum flow problem
Maximum likelihood
Mean and predicted response
Memetic algorithm
Metropolis–Hastings algorithm
Minimum-variance unbiased estimator
Mixed logit
Mixed model
Mixture model
Multi-objective optimization
Multi-task learning
Multicriteria classification
Multilevel model
Multinomial logistic regression
Multiple correspondence analysis
Multiple integral
Multiple-criteria decision analysis
Naive Bayes classifier
Nash equilibrium
Natural language processing
Nearest neighbor search
Nelder–Mead method
Newsvendor model
Newton's method
No free lunch in search and optimization
Non-linear least squares
Non-negative least squares
Nonlinear programming
Nonlinear regression
Nonparametric regression
Normal-form game
Observed information
Odds algorithm
Optimal control
Optimal design
Optimal stopping
Ordered logit
Ordinal optimization
Ordinary differential equation
Ordinary least squares
Orthogonality principle
P versus NP problem
Parallel metaheuristic
Pareto efficiency
Partial correlation
Partial derivative
Partial differential equation
Partial least squares regression
Particle swarm optimization
Pattern recognition
Poisson regression
Principal component analysis
Principal component regression
Probit model
Program evaluation and review technique (PERT)
Proofs of trigonometric identities
Pythagorean theorem
QR decomposition
Quadratic programming
Quantile regression
Random effects model
Random forest
Rank factorization
Rao–Blackwell theorem
Recursive Bayesian estimation
Regression analysis
Regression model validation
Reinforcement learning
Ridge detection
Robust optimization
Robust regression
Score (statistics)
Second partial derivative test
Seemingly unrelated regressions
Self-organizing map
Semi-supervised learning
Semidefinite programming
Semiparametric regression
Sensitivity and specificity
Shape optimization
Similarity learning
Simplex algorithm
Simpson's paradox
Simulated annealing
Simultaneous game
Singular value decomposition
Smoothing spline
Sorting algorithm
Stable marriage problem
Stein's unbiased risk estimate
Stochastic process
Stochastic programming
Stress majorization
Structural equation modeling
Subgradient method
Sufficient statistic
Supervised learning
Support vector machine
Surface integral
Swarm intelligence
Tabu search
Tikhonov regularization
Total derivative
Transduction (machine learning)
Travelling salesman problem
Trend estimation
Triple product rule
Unsupervised learning
Volume element
Voronoi diagram