Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

This repository provides a comprehensive module on structural biology and drug discovery, covering protein structure, docking, and drug design. It runs on Google Cloud Platform using Jupyter notebooks ...

However, in this paper, a statistical analysis reveals the super-Gaussian and heteroscedastic properties of the prediction errors in nonlinear regression deep neural network (DNN)-based speech ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

Abstract: At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning ...

This study offers a comparative analysis of several ordinal activation functions that utilize four key cumulative link functions used in ordinal regression: logit (logistic distribution), probit ...

This video is a one stop shop for understanding What is linear regression in machine learning ... season feels it What Is The Ideal Age Difference Between Wife And Husband? Does It Matter Who ...