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Category:Machine learning

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Machine learning is a branch of statistics and computer science which studies algorithms and architectures that learn from observed facts. Template:Cat diffuse Template:Cat main Template:Commons cat Template:Cat see also Template:CatAutoTOC

Subcategories

This category has only the following subcategory.

E

  • Evolutionary algorithms

Template:AnchorPages in category "Machine learning"

The following 22 pages are in this category, out of 22 total.

 

  • Machine learning

B

  • Binary classification

C

  • Confusion matrix
  • Cross-validation (statistics)
  • Curse of dimensionality

D

  • Developmental robotics
  • Document classification

E

  • Empirical risk minimization

F

  • Feature (machine learning)
  • Formal concept analysis

G

  • Generative model
  • Granular computing

I

  • Inductive bias

L

  • Linear separability

M

  • Multi-task learning

O

  • Overfitting

P

  • Pattern recognition

R

  • Relational data mining

S

  • Solomonoff's theory of inductive inference
  • Statistical learning theory

T

  • Time series
  • Transduction (machine learning)
Retrieved from "https://zalansite.site/mediawiki/index.php?title=Category:Machine_learning&oldid=418410"
Last edited on 26 December 2024, at 14:53
Incubator escapee wiki
  • This page was last edited on 26 December 2024, at 14:53.
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