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 23 subcategories, out of 23 total.
A
- Applied machine learning (65 P)
B
- Bayesian networks (12 P)
C
D
- Datasets in machine learning (14 P)
E
G
- Genetic programming (13 P)
I
K
L
- Log-linear models (2 P)
- Loss functions (12 P)
M
R
- Reinforcement learning (18 P)
- Machine learning researchers (169 P)
S
- Support vector machines (8 P)
U
- Unsupervised learning (31 P)
Pages in category "Machine learning"
The following 200 pages are in this category, out of 235 total.
(previous page) (next page)A
- Software:Accelerated Linear Algebra
- Action model learning
- Active learning (machine learning)
- Adversarial machine learning
- Social:AI Constitution
- Company:AI Factory
- AIOps
- AIVA
- AIXI
- Algorithm selection
- Algorithmic bias
- Algorithmic inference
- Anomaly detection
- Apprenticeship learning
- Artificial intelligence in hiring
- Associative classifier
- Attention (machine learning)
- Automated decision-making
- Automated machine learning
- Automation in construction
B
C
- Cancer Likelihood in Plasma
- Category utility
- CIML community portal
- Cleverbot
- Cognitive robotics
- Concept drift
- Concept learning
- Conditional random field
- Confusion matrix
- Software:Contrastive Language-Image Pre-training
- Cost-sensitive machine learning
- Coupled pattern learner
- Cross-entropy method
- Cross-validation (statistics)
- Curse of dimensionality
D
- Data augmentation
- Data exploration
- Data pre-processing
- Data preprocessing
- Astronomy:Data-driven astronomy
- Decision list
- Decision tree pruning
- Deep tomographic reconstruction
- Developmental robotics
- Discovery system (AI research)
- Document classification
- Domain adaptation
- Double descent
- Drift (data science)
E
- Eager learning
- ELMo
- EM algorithm and GMM model
- Empirical dynamic modeling
- Empirical risk minimization
- Physics:Energy based model
- Equalized odds
- Evaluation of binary classifiers
- Evolvability (computer science)
- Expectation propagation
- Explanation-based learning
- Exploration-exploitation dilemma
- Exploration–exploitation dilemma
F
G
H
I
K
L
- Labeled data
- Software:LaBSE
- 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
- Software:List of data science software
- Local case-control sampling
- Lottery ticket hypothesis
- Lyra (codec)
M
- M-Theory (learning framework)
- M-theory (learning framework)
- Machine learning control
- Machine learning in bioinformatics
- Machine learning in earth sciences
- Software:Machine learning in video games
- Machine learning potential
- Machine unlearning
- Machine-learned interatomic potential
- Manifold hypothesis
- Matchbox Educable Noughts and Crosses Engine
- Matrix regularization
- Maximum inner-product search
- Mechanistic interpretability
- Meta learning (computer science)
- MLOps
- Software:MobileNet
- Mode collapse
- Model compression
- Engineering:Mountain car problem
- Multi-agent learning
- Multi-armed bandit
- Multi-task learning
- Multimodal representation learning
- Multimodal sentiment analysis
- Multiple instance learning
- Multiple-instance learning
- Multiplicative weight update method
- Multitask optimization
- Multivariate adaptive regression spline
- Multivariate adaptive regression splines
N
P
- Paraphrasing (computational linguistics)
- Parity learning
- Pattern language (formal languages)
- Pattern recognition
- Perceiver
- PHerc. Paris. 4
- Biology:Phi coefficient
- Predictive learning
- Predictive state representation
- Preference learning
- Prior knowledge for pattern recognition
- Proactive learning
- Proaftn
- Probabilistic numerics
- Probability matching
- Product of experts
- Products and applications of OpenAI
- Programming by example
- Prompt engineering
