I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Objective To assess family caregiver burden and associated factors among caregivers of people with mental illness in Eastern Ethiopia. Design Cross-sectional study. Setting Three hospitals in Eastern ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...

This valuable study examined the roles of the posterior parietal cortex in rats performing an auditory change-detection decision task. It provided solid evidence for two subpopulations with opposing ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...

In “Goliath’s Curse,” Luke Kemp crunches the numbers to see exactly how far we are from the fate of once-great empires. A detail from Samuel Colman’s “The Edge of Doom” (1836-38).Credit...Samuel ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

The Trump administration wants the Education Department to collect more college admissions data, even as it slashes the very staff that ensures the statistics are credible and accurate. From early ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...