Can CSR help make Indian cities cleaner?

India’s Companies Act requires qualifying companies to spend at least two percent of their average net profits on Corporate ...

Machine learning rediscovers equations governing ocean biogeochemistry

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Purdue University

DATA SCIENCE

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...
LinkedIn

Multivariate Analysis in R for Real-World Data Problems

Multivariate analysis R provides a robust toolkit for solving real-world data problems by analyzing relationships among multiple variables simultaneously. By applying proper data preparation, ...
IEEE

A Multivariate Normal Distribution Data Generative Model in Small-Sample-Based Fault Diagnosis: Taking Traction Circuit Breaker as an Example

Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...
LinkedIn

I Failed Multivariate Analysis Twice in College - Here's Why It's Essential Anyway

Multivariate data analysis is probably one of the main areas for anyone who wants to work with data science. I’ll bring you some fundamentals now. A series of important concepts that will serve as a ...
Nature

Multivariate data analysis of sex differences in emotional and cognitive evaluations over 1 year after stroke

Stroke is one of the leading causes of death and disability worldwide. Apart from the motor impairments commonly associated with stroke, disabilities in psychological functioning may contribute to ...
GitHub

temporal - E04 - multivariate_temporal_dependency.py

focusing on temporal dependencies between current velocity (U) and direction (DirU). The analysis uses Vector Autoregressive (VAR) models to capture complex temporal and cross-variable relationships ...
Investopedia

Descriptive Statistics: Definition, Overview, Types, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Pew Research Center

What we know about energy use at U.S. data centers amid the AI boom

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...