Category:Machine learning
Jump to navigation
Jump to search
(previous page) (next page)
Machine learning is a branch of statistics and computer science, which studies algorithms and architectures that learn from observed facts.
 |
Wikimedia Commons has media related to Machine learning. |
Subcategories
This category has the following 35 subcategories, out of 35 total.
A
B
- Bayesian networks (13 P)
- Blockmodeling (14 P)
C
- Computational learning theory (21 P)
D
E
- Ensemble learning (13 P)
G
- Genetic programming (13 P)
I
- Inductive logic programming (5 P)
K
L
- Learning in computer vision (5 P)
- Log-linear models (2 P)
- Loss functions (9 P)
M
- Machine learning task (9 P)
O
R
- Reinforcement learning (7 P)
- Machine learning researchers (132 P)
S
- Semisupervised learning (2 P)
- Supervised learning (4 P)
- Support vector machines (9 P)
U
Pages in category "Machine learning"
The following 200 pages are in this category, out of approximately 240 total. This list may not reflect recent changes (learn more).
(previous page) (next page)A
- Ablation (artificial intelligence)
- Action model learning
- Active learning (machine learning)
- Adversarial machine learning
- AIXI
- Algorithm selection
- Algorithmic bias
- Algorithmic inference
- Anomaly detection
- Apprenticeship learning
- Artificial intelligence in hiring
- Associative classifier
- Astrostatistics
- Attention (machine learning)
- Automated machine learning
- Automation in construction
B
C
- Catastrophic interference
- Category utility
- CIML community portal
- Cognitive robotics
- Committee machine
- Computational learning theory
- Concept drift
- Concept learning
- Conditional random field
- Confusion matrix
- Connectionist temporal classification
- Constrained conditional model
- Convolutional neural network
- Count sketch
- Coupled pattern learner
- Cross-entropy method
- Cross-validation (statistics)
- Curse of dimensionality
D
E
F
G
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
M
- M-Theory (learning framework)
- Logic learning machine
- Machine Learning (journal)
- Machine learning control
- Machine learning in bioinformatics
- Machine learning in physics
- Machine learning in video games
- Manifold hypothesis
- Manifold regularization
- The Master Algorithm
- Matchbox Educable Noughts and Crosses Engine
- Matrix regularization
- Matthews correlation coefficient
- Meta learning (computer science)
- Mixture model
- MLOps
- Mountain car problem
- Multi-agent 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
N
P
- Paraphrasing (computational linguistics)
- Parity learning
- Pattern language (formal languages)
- Pattern recognition
- Perceiver
- Physics-informed neural networks
- Predictive learning
- Predictive state representation
- Preference learning
- Prior knowledge for pattern recognition
- Proactive learning
- Proaftn
- Probabilistic numerics
- Probability matching
- Product of experts
- Programming by example
- Proximal gradient methods for learning
- Pythia (machine learning)