En machine learning et plus particulièrement en apprentissage supervisé, ce calcul de l’erreur entre la valeur prédite et la valeur véritable revient à rechercher la fonction coût. Or la méthode des ...

This is closely related to the traditional statistical application of the method, the key difference being that in machine learning, logistic regression is used to develop a model that learns from ...

Logistic regression is a particular case of a generalized linear model. Like linear regression, logistic regression is a widely used statistical tool and one of the foundational tools for your data ...

Simple linear regression. In simple linear regression, the relationships between small data sets are assumed to fall along a straight line on a chart. Machine learning would help minimize errors ...

To illustrate the interaction between feature selection and linear regression, I scraped 500 rows of game logs from stats.nba.com, placed them in a .csv file on one of our test Hadoop clusters ...