The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

We have cleaned, visualized, and checked the relationships in the data. Now, we move on to prediction. The first models you ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Logistic regression, also known as a logit model, is a statistical analysis method to predict a binary outcome, such as yes or no, based on prior observations of a data set. A logistic regression ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and ...

Regression can be used on categorical responses to estimate probabilities and to classify. In recent columns we showed how linear regression can be used to predict a continuous dependent variable ...