# Category:Machine learning

From HandWiki

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 24 subcategories, out of 24 total.

### A

- Applied machine learning (67 P)

### B

- Bayesian networks (13 P)

### C

- Computational learning theory (23 P)

### D

- Datasets in machine learning (13 P)
- Deep learning (47 P)

### E

### G

- Genetic programming (15 P)

### I

- Inductive logic programming (6 P)

### K

### L

- Log-linear models (2 P)
- Loss functions (10 P)

### M

### R

- Reinforcement learning (11 P)
- Machine learning researchers (146 P)

### S

- Support vector machines (12 P)

### U

- Unsupervised learning (27 P)

## Pages in category "Machine learning"

The following 200 pages are in this category, out of 276 total.

(previous page) (next page)### *

### A

- Ablation (artificial intelligence)
- Action model learning
- Active learning (machine learning)
- Adversarial machine learning
- AIVA
- AIXI
- Algorithm selection
- Algorithmic bias
- Algorithmic inference
- Anomaly detection
- Company:Appen
- Apprenticeship learning
- Artificial intelligence in hiring
- Associative classifier
- Astronomy:Astrostatistics
- Attention (machine learning)
- Organization:Australian Institute for Machine Learning
- Automated decision-making
- Automated machine learning
- Automation in construction

### B

### C

- Cancer Likelihood in Plasma
- Catastrophic interference
- Category utility
- Organization:Center for Biological and Computational Learning
- CIML community portal
- Cleverbot
- Cognitive robotics
- Philosophy:Committee machine
- Computational learning theory
- Concept class
- Concept drift
- Concept learning
- Conditional random field
- Confusion matrix
- Connectionist temporal classification
- Constrained conditional model
- Count sketch
- Coupled pattern learner
- Cross-entropy method
- Cross-validation (statistics)
- Curse of dimensionality

### D

### E

- Eager learning
- Early stopping
- Elastic matching
- ELMo
- EM algorithm and GMM model
- Empirical dynamic modeling
- Empirical risk minimization
- Physics:Energy based model
- Equalized odds
- Error tolerance (PAC learning)
- Evaluation of binary classifiers
- Evolutionary programming
- Evolvability (computer science)
- Expectation propagation
- Explanation-based learning

### F

### G

### H

### I

### K

### L

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

### M

- M-Theory (learning framework)
- M-theory (learning framework)
- Logic learning machine
- Machine learning control
- Machine learning in bioinformatics
- Machine learning in earth sciences
- Engineering:Machine learning in physics
- Software:Machine learning in video games
- Manifold hypothesis
- Manifold regularization
- The Master Algorithm
- Matchbox Educable Noughts and Crosses Engine
- Matrix regularization
- Biology:Matthews correlation coefficient
- Maximum inner-product search
- Meta learning (computer science)
- Mixture model
- MLOps
- Engineering:Mountain car problem
- Multi-agent learning
- Multi-agent reinforcement learning
- Multi-armed bandit
- Multi-task learning
- Multilinear principal component analysis
- Multilinear subspace learning
- Multimodal sentiment analysis
- Multiple instance learning
- Multiple-instance learning
- Multiplicative weight update method
- Multitask optimization
- Multivariate adaptive regression spline
- Multivariate adaptive regression splines