A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Beyond market data normalization and distribution, Nexus integrates seamlessly into the broader trading stack, supporting both application-level consumption and execution workflows. It is fully ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

The empirical rule describes how points are clustered in a normally-distributed data set. It states that 95% of data fall within two standard deviations of the mean.