AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...
Nature

Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

The study of geopolymer technology for improving cohesive soil properties is significant from a scientific and practical perspective. The utilization of stabilizers such as lime and fly ash has been ...
lse

Beyond average: A new approach to multicalibration brings group fairness to web scale

John Barlow and Daniel Titherington introduce MCGrad (MultiCalibration Gradient Boosting), a powerful machine learning algorithm developed by researchers at Meta and Professor Milan Vojnovic that ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...