# Category:Machine learning

Here is a list of articles in the Machine learning category of the Computing portal that unifies foundations of mathematics and computations using computers. **Machine learning** is a branch of statistics and computer science, which studies algorithms and architectures that learn from observed facts.

## Subcategories

This category has the following 23 subcategories, out of 23 total.

### A

### B

### C

### D

### E

### G

### K

### L

### M

### R

### S

### U

## Pages in category "Machine learning"

The following 200 pages are in this category, out of 228 total.

(previous page) (next page)- Machine learning
*(computing)*

### *

- List of datasets for machine learning research
*(computing)* - List of datasets for machine-learning research
*(computing)* - Outline of machine learning
*(computing)*

### 8

- 80 Million Tiny Images
*(computing)*

### A

- Action model learning
*(computing)* - Active learning (machine learning)
*(computing)* - Adversarial machine learning
*(computing)* - AIVA
*(computing)* - AIXI
*(computing)* - Algorithm selection
*(computing)* - Algorithmic bias
*(computing)* - Algorithmic inference
*(computing)* - Anomaly detection
*(computing)* - Appen
*(company)* - Apprenticeship learning
*(computing)* - Associative classifier
*(computing)* - Astrostatistics
*(astronomy)* - Automated machine learning
*(computing)* - Automated Pain Recognition
*(computing)* - Automation in construction
*(computing)*

### B

- Bag-of-words model
*(computing)* - Ball tree
*(computing)* - Base rate
*(computing)* - Bayesian interpretation of kernel regularization
*(computing)* - Bayesian optimization
*(computing)* - Bayesian regret
*(computing)* - Bayesian structural time series
*(computing)* - Bias–variance tradeoff
*(computing)* - BigDL
*(software)* - Binary classification
*(computing)* - Bing Predicts
*(computing)* - Bradley–Terry model
*(computing)*

### C

- Cancer Likelihood in Plasma
*(computing)* - Catastrophic interference
*(computing)* - Category utility
*(computing)* - Center for Biological and Computational Learning
*(organization)* - CIML community portal
*(computing)* - Cleverbot
*(computing)* - Cognitive robotics
*(computing)* - Committee machine
*(philosophy)* - Computational learning theory
*(computing)* - Concept drift
*(computing)* - Concept learning
*(computing)* - Conditional random field
*(computing)* - Confusion matrix
*(computing)* - Connectionist temporal classification
*(computing)* - Constrained conditional model
*(computing)* - Convolutional neural network
*(computing)* - Coupled pattern learner
*(computing)* - Cross-entropy method
*(computing)* - Cross-validation (statistics)
*(computing)* - Curse of dimensionality
*(computing)*

### D

- Data exploration
*(computing)* - Data pre-processing
*(computing)* - Decision list
*(computing)* - Deeplearning4j
*(software)* - Developmental robotics
*(computing)* - Dimensionality reduction
*(computing)* - Discriminative model
*(computing)* - Document classification
*(computing)* - Domain adaptation
*(computing)* - DoNotPay
*(software)*

### E

- Eager learning
*(computing)* - Early stopping
*(computing)* - Elastic matching
*(computing)* - EM algorithm and GMM model
*(computing)* - Empirical risk minimization
*(computing)* - Error tolerance (PAC learning)
*(computing)* - Evaluation of binary classifiers
*(computing)* - Evolutionary programming
*(computing)* - Evolvability (computer science)
*(computing)* - Expectation propagation
*(computing)* - Explanation-based learning
*(computing)*

### F

- Fairness (machine learning)
*(computing)* - Feature (machine learning)
*(computing)* - Feature engineering
*(computing)* - Feature hashing
*(computing)* - Feature learning
*(computing)* - Feature scaling
*(computing)* - Federated learning
*(computing)* - Flux (machine-learning framework)
*(software)* - Formal concept analysis
*(computing)*

### G

- Generative model
*(computing)* - Genetic algorithm
*(computing)* - Glossary of artificial intelligence
*(computing)* - GPT-3
*(software)* - Grammar induction
*(computing)* - Granular computing
*(computing)*

### H

- Highway network
*(computing)* - Hyperparameter (machine learning)
*(computing)* - Hyperparameter optimization
*(computing)*

### I

- Inauthentic text
*(computing)* - Inductive bias
*(computing)* - Inductive probability
*(computing)* - Inductive programming
*(computing)* - Inferential theory of learning
*(computing)* - Instance selection
*(computing)* - Instance-based learning
*(computing)* - Instantaneously trained neural networks
*(computing)* - Isotropic position
*(computing)*

### J

- Journal of Machine Learning Research
*(computing)*

### K

- Kernel density estimation
*(computing)* - Kernel embedding of distributions
*(computing)* - Knowledge distillation
*(computing)* - Knowledge integration
*(computing)*

### L

- Labeled data
*(computing)* - Large margin nearest neighbor
*(computing)* - Large width limits of neural networks
*(computing)* - Lazy learning
*(computing)* - Leakage (machine learning)
*(computing)* - Learnable function class
*(computing)* - Learning automaton
*(computing)* - Learning curve (machine learning)
*(computing)* - Learning rate
*(computing)* - Learning to rank
*(computing)* - Learning with errors
*(computing)* - Leave-one-out error
*(computing)* - Life-time of correlation
*(computing)* - Linear predictor function
*(computing)* - Linear separability
*(computing)* - Local case-control sampling
*(computing)*

### M

- M-Theory (learning framework)
*(computing)* - Logic learning machine
*(computing)* - Machine learning control
*(computing)* - Machine learning in bioinformatics
*(computing)* - Machine learning in physics
*(engineering)* - Machine learning in video games
*(computing)* - Manifold regularization
*(computing)* - The Master Algorithm
*(computing)* - Matrix regularization
*(computing)* - Matthews correlation coefficient
*(biology)* - Meta learning (computer science)
*(computing)* - Mixture model
*(computing)* - Mountain car problem
*(computing)* - Multi-agent learning
*(computing)* - Multi-armed bandit
*(computing)* - Multi-task learning
*(computing)* - Multilinear principal component analysis
*(computing)* - Multilinear subspace learning
*(computing)* - Multimodal sentiment analysis
*(computing)* - Multiple instance learning
*(computing)* - Multiple-instance learning
*(computing)* - Multiplicative weight update method
*(computing)* - Multitask optimization
*(computing)* - Multivariate adaptive regression spline
*(computing)* - Multivariate adaptive regression splines
*(computing)*

### N

- Native-language identification
*(computing)* - Nature Machine Intelligence
*(computing)* - Nearest neighbor search
*(computing)* - Neural modeling fields
*(computing)* - Neural network Gaussian process
*(computing)* - Neural network quantum states
*(physics)* - Node2vec
*(computing)* - Novelty detection
*(biology)*

### O

- Occam learning
*(computing)* - Offline learning
*(computing)* - OpenNN
*(software)* - Overfitting
*(computing)*

### P

- Paraphrasing (computational linguistics)
*(computing)* - Parity learning
*(computing)* - Pattern language (formal languages)
*(computing)* - Pattern recognition
*(computing)* - Predictive learning
*(computing)* - Predictive state representation
*(computing)* - Preference learning
*(computing)* - Prior knowledge for pattern recognition
*(computing)* - Proactive learning
*(computing)* - Proaftn
*(computing)* - Probability matching
*(computing)* - Product of experts
*(computing)* - Programming by example
*(computing)* - Proximal gradient methods for learning
*(computing)*

### Q

- Qloo
*(company)* - Quantum machine learning
*(engineering)* - Query-level feature
*(computing)*

### R

- Rademacher complexity
*(computing)* - RAMnets
*(computing)* - Random forest
*(computing)* - Random indexing
*(computing)* - Random projection
*(computing)* - Relational data mining
*(computing)* - Representer theorem
*(computing)* - Right to explanation
*(computing)* - Robot learning
*(computing)* - Robotic process automation
*(computing)* - Rule induction
*(computing)*

### S

- Sample complexity
*(computing)* - Scikit-multiflow
*(software)* - Semantic analysis (machine learning)
*(computing)* - Semantic folding
*(computing)* - Semi-supervised learning
*(computing)* - Sequence labeling
*(computing)* - Similarity learning
*(computing)* - Solomonoff's theory of inductive inference
*(computing)* - Sparse dictionary learning
*(computing)* - Spike-and-slab regression
*(computing)* - Spike-and-slab variable selection
*(computing)* - Stability (learning theory)
*(computing)* - Statistical classification
*(computing)*