|
|
| (Une version intermédiaire par le même utilisateur non affichée) |
| Ligne 1 : |
Ligne 1 : |
| ==en construction==
| | #REDIRECTION[[Loi bêta]] |
| {{df-url}}
| | [[Catégorie:ENGLISH]] |
| == Définition ==
| |
| XXXXXXXXX
| |
| | |
| == Français ==
| |
| ''' XXXXXXXXX '''
| |
| | |
| == Anglais ==
| |
| ''' Beta Distribution'''
| |
| | |
| Beta distribution is the continuous probability distribution of all unknown probabilities in a model. This distribution represents all a probability’s possible values when the probability itself is unknown. In statistical terms, beta distribution is a dynamic, continuously updated probability distribution with two parameters. Its most common use in machine learning is modeling the uncertainty about the probability of success of a given experiment.
| |
| | |
| | |
| <small>
| |
| | |
| | |
| [https://deepai.org/machine-learning-glossary-and-terms/beta-distribution Source : DeepAI.org ] | |
| | |
| [[Catégorie:DeepAI.org]] | |
| | |
| | |
| [[Catégorie:vocabulary]] | |
