White-box models in machine learning offer greater transparency and interpretability compared to black-box models, making them more suitable for critical applications.

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

The insurer will use Akur8’s Core Platform, which leverages proprietary ML technology to improve pricing processes.

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 ...

Advancing Interpretability in Machine Learning: Model Summaries and Interpretable Regional Descriptors Susanne Dandl * 1, Marc Becker 2, Bernd Bischl 1, Giuseppe Casalicchio 2, ... The package draws ...