Machine learning is a branch of statistics and computer science, which studies algorithms and architectures that learn from observed facts.
The main article for this category is Machine learning.
See also: the categories data mining, artificial intelligence, decision theory, and Statistical classification.
Subcategories
This category has the following 26 subcategories, out of 26 total.
A
B
C
D
E
I
K
L
M
R
S
Pages in category "Machine learning"
The following 158 pages are in this category, out of 158 total. This list may not reflect recent changes (learn more).
A
B
C
- Catastrophic interference
- Category utility
- CBCL (MIT)
- CIML community portal
- Cleverbot
- Computational learning theory
- Concept drift
- Concept learning
- Conditional random field
- Confusion matrix
- Constrained conditional model
- Coupled pattern learner
- Cross-entropy method
- Cross-validation (statistics)
- Curse of dimensionality
D
E
F
I
K
L
M
- M-Theory (learning framework)
- Logic learning machine
- Machine Learning (journal)
- Matthews correlation coefficient
- Meta learning (computer science)
- Mixture model
- Mountain Car
- Multi-armed bandit
- Multi-task learning
- Multilinear principal component analysis
- Multilinear subspace learning
- Multiple-instance learning
- Multivariate adaptive regression splines
P
R
S
- Sample complexity
- Semantic analysis (machine learning)
- Semi-supervised learning
- Sequence labeling
- Similarity learning
- Skymind
- Solomonoff's theory of inductive inference
- Stability (learning theory)
- Statistical classification
- Statistical learning theory
- Statistical relational learning
- Stochastic block model
- Structural risk minimization
- Subclass reachability
- Supervised learning