A linear function would fit the data only to a straight line, whereas nonlinear functions can capture more interesting behaviors. “The curve of your activation function is introducing that ...

Adjustment for race is discouraged in lung-function testing, but the implications of adopting race-neutral equations have not been comprehensively quantified. We obtained longitudinal data from 369 ...

In this paper, we consider the local asymptotics of the nonparametric function in a partially linear model, within the framework of the divide-and-conquer estimation. Unlike the fixed-dimensional ...

In a group of Chinese patients with normal low-density lipoprotein cholesterol (LDL-c), serum albumin to creatinine (sACR) showed an inverse and non-linear relationship with the risk of non-alcoholic ...

Deep learning's availability of large data and compute power makes it far better than any of the classical machine learning algorithms.

Objective To quantify the association between physical activity and risk of SARS-CoV-2 infection, COVID-19-associated hospitalisation, severe illness and death due to COVID-19 in adults. Design A ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...