The digital twin of the future is a decision making engine that connects optimization with real-world execution through three interconnected phases.

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

We evaluate Logistic Regression, K-Nearest Neighbors ... The study provides valuable guidance for selecting appropriate machine learning techniques for real-world IoT security applications. Regardless ...

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 ...

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 ...

Credit risk assessment has become one of the major concerns in modern finance regarding informed lending decisions. Although several studies have used traditional logistic regression and linear ...

Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...