Examples of discriminative models in machine learning include support vector machines, logistic regression, decision trees, and random forests. Differences Between Generative and Discriminative.

Comparing the single model and integrated model regression results of each machine learning algorithm shows its pros and cons. Finally, simulated experiments using four data sets show how well each ...

This catch is not specific to linear regression. It applies to any machine learning model in any domain — if the features available aren’t related to the phenomenon you’re trying to model ...

The as opposed to Weather Forecasting utilizing Machine Learning Algorithms which depends essentially on reenactment dependent on Physics and Differential Equations, Artificial Intelligence is ...

In this work, we study the use of logistic regression in manufacturing failures detection. As a data set for the analysis, we used the data from Kaggle competition “Bosch Production Line Performance”.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Amazon Redshift ML is designed to make it easy for SQL users to create, train, and deploy machine learning models using SQL commands. The CREATE MODEL command in Redshift SQL defines the data to ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...