A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

Abstract: Decision trees are a popular choice for providing explainable machine learning, since they make explicit how ... However, the global decision tree model tends to be computationally more ...

The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...

This project focuses on detecting forged or genuine banknotes using Machine Learning, specifically a Decision Tree Classifier. The model is trained on a dataset consisting of wavelet-transformed ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

Python is a leading choice for programming in areas like machine learning and artificial intelligence, possessing an abundance of libraries and utilities that make it easier for developers to ...

AI workload demands continue to expand, with generative AI a driver of further investment in infrastructure. As organizations ...