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Machine learning (Page 1)
scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions
Subconcepts:
- Active learning (machine learning)
- Activity recognition
- Adaptive algorithm
- Adaptive system
- Additive model
- Akaike information criterion
- Analysis of covariance
- Analysis of variance
- Anticipation (artificial intelligence)
- Applications of artificial intelligence
- Appropriate Use Criteria
- Artificial general intelligence
- Artificial immune system
- Artificial Intelligence System
- Artificial life
- Artificial neural network
- Association rule learning
- Bayesian information criterion
- Bayesian network
- Bayesian optimization
- Biological neural network
- Bionics
- Bivariate analysis
- Boosting (machine learning)
- Bootstrap aggregating
- Brier score
- Canonical analysis
- Case analysis
- Case-based reasoning
- Categorical variable
- Chemometrics
- Chow test
- Classification rule
- Classification scheme
- Cluster analysis
- Coefficient of determination
- Cohen's kappa
- Cointegration
- Collocation (remote sensing)
- Commonsense reasoning
- Component analysis
- Compositional data
- Compressed sensing
- Computational intelligence
- Computational neuroscience
- Computational Science and Engineering
- Computational statistics
- Concept learning
- Confusion matrix
- Contingency table
- Control variable
- Convolutional neural network
- Coordinate descent
- Correlation coefficient
- Correspondence analysis
- Covariate
- Credence
- Crossover
- Cross-validation
- Crowd sourcing
- Curse of dimensionality
- Curve fitting
- Data pre-processing
- Data stream mining
- Decision model
- Decision tree
- Deep learning
- Deviance (statistics)
- Dimensionality reduction
- Discrete choice
- Discriminant function analysis
- Discriminative model
- Distributed lag
- Dropout (neural networks)
- Dynamic mode decomposition
- Econometric model
- Educational data mining
- Empirical orthogonal functions
- Empirical risk minimization
- Endogeneity
- Ensemble forecasting
- Ensemble learning
- Epitome
- Errors-in-variables models
- Evolutionary algorithm
- Evolutionary computation
- Explained sum of squares
- Explained variation
- Exploratory search
- Exponential family
- F1 score
- Factor analysis
- Factorial experiment
- False alarm
- False positive paradox
- Feature learning
- Feature selection
- Feature vector
- Fisher information
- Free energy principle
- Functional data analysis
- Functional decomposition
- Galton's problem
- Gene expression programming
- Generalized additive model
- Generalized estimating equation
- Generalized linear mixed model
- Generalized linear model
- Genetic algorithm
- Genetic programming
- Geometric data analysis
- Geometric programming
- Gompertz function
- Go/no go
- Goodness of fit
- Granger causality
- Graphical model
- Ground truth
- Group method of data handling
- Hedonic regression
- Heteroscedasticity
- Hindcast
- Homogeneity (statistics)
- Hybrid system
- Hyperparameter
- Identifiability
- Incremental learning
- Independent component analysis
- Inductive logic programming
- Information filtering system
- Instrumental variable
- Intelligent agent
- Intelligent control
- Intelligent decision support system
- Interaction
- Interpretability
- k-nearest neighbors algorithm
- Kriging
- Labeled data
- Latent class model
- Latent growth modeling
- Latent variable
- Learnability
- Learning analytics
- Leverage (statistics)
- Lift (data mining)
- Linear model
- Linear regression
- Link analysis
- Logistic function
- Logistic regression
- Logit
- Main effect
- Margin (machine learning)
- Markov chain
- Mean squared prediction error
- Missing data
- Mixed model
- Model selection
- Moderated mediation
- Moderation
- Multi-agent system
- Multidimensional scaling
- Multi-label classification
- Multilevel model
- Multimodal learning
- Multinomial logistic regression
- Multi-objective optimization
- Multiple correspondence analysis
- Multivariate analysis
- Multivariate analysis of variance
- Multivariate probit model
- Multivariate statistics
- Music and artificial intelligence
- Natural computing
- Network structure
- News analytics
- NOMINATE
- Omitted-variable bias
- Optimal design
- Optimal estimation
- Optimality criterion
- Ordered logit
- Ordered probit
- Ordinal data
- Ordinal regression
- Ordinary least squares
- Ordination
- Partial least squares regression
- Particle swarm optimization
- Path analysis (statistics)
- Policy learning
- Precision and recall
- Prediction interval
- Predictive analytics
- Predictive modelling
- Predictive value of tests
- Probabilistic latent semantic analysis
- Probit
- Probit model
- Proxy (statistics)
- Qualitative comparative analysis
- Qualitative property
- Quantile regression
- Quantitative structure–activity relationship
- Random forest
- Rank correlation
- Ranking (information retrieval)
- Receiver operating characteristic
- Receptive field
- Recommender system
- Recursive partitioning
- Regression analysis
- Regret
- Reinforcement learning
- Response surface methodology
- Rough set
- Rule induction
- Scatter plot
- Schema (genetic algorithms)
- Score
- Scoring algorithm
- Scoring rule
- Seasonality
- Seemingly unrelated regressions
- Selection (genetic algorithm)
- Self-management
- Semantic mapping
- Semi-supervised learning
- Sensor array
- Sensor fusion
- Sentiment analysis
- Separation (statistics)
- Shrinkage
- Silhouette
- Simulated annealing
- Simulation-based optimization
- Small data
- Soar
- Social statistics
- Spearman's rank correlation coefficient
- Specification
- Spurious relationship
- Stability (learning theory)
- Standard score
- Statistical classification
- Statistical model
- Statistical noise
- Stepwise regression
- Structural equation modeling
- Structured prediction
- Studentized residual
- Subgradient method
- Support vector machine
- Surrogate model
- Taguchi methods
- Test set
- Threshold model
- Time series
- Tobit model
- Transfer of learning
- Trend analysis
- Truncation (statistics)
- Uncertain data
- Uncertainty quantification
- Universal Design for Learning
- Unsupervised learning
- Urban computing
- Value (mathematics)
- Variables
- Watershed
- Weighted arithmetic mean
- White box
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