« Recherche de règles d'association » : différence entre les versions
Aucun résumé des modifications Balise : Éditeur de wikicode 2017 |
Aucun résumé des modifications |
||
| Ligne 19 : | Ligne 19 : | ||
Machine Learning for Beginners – a How-to Guide | Machine Learning for Beginners – a How-to Guide | ||
https://opendatascience.com/machine-learning-for-beginners/ | https://opendatascience.com/machine-learning-for-beginners/ | ||
[https://deeplearning.lipingyang.org/wp-content/uploads/2016/12/Glossary-of-Terms-Journal-of-Machine-Learning.pdf Source : Journal of Machine Learning ] | |||
Version du 17 décembre 2020 à 09:27
en construction
Définition
...
Français
...
Anglais
Association Rule Learning
discovering rules for observing A given B. This is closely related to clustering in that we’re attempting to find connections between events. However, the difference is the approach. Instead of drawing bounds on a region and seeing if someone fits in that bucket, we use the frequency of a collection of discrete observations to create priors: what’s the probability of observing A, or B, or C? From these, we figure out what the probability is of observing A given B, or observing C given A and B. This is just Bayesian statistics: P(A), P(B | A), P(C | A, B), and so forth.
Machine Learning for Beginners – a How-to Guide https://opendatascience.com/machine-learning-for-beginners/
Contributeurs: Gérard Pelletier, Imane Meziani, Jean Benoît Morel, wiki
