Investigating the mathematics of gradient descent in Linear Regression Machine Learning models: How are linear regression machine learning models effectively constructed using mathematics to generate ...
Linear regression is a method for modeling the relationship between two numerical variables by fitting a straight line to the data. It is used to understand how changes in an explanatory variable ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
Quantile regression, which models the conditional quantiles of the response variable given covariates, usually assumes a linear model. However, this kind of linearity is often unrealistic in real life ...
Abstract: The present study proposes a flexible/soft model for investigating the role of philosophic-mindedness, creativity, mathematics self-efficacy, and mathematics self-concept in predicting math ...
Abstract: This paper takes students from an applied undergraduate university in Jiangsu Province as the research object, the advanced mathematics score as the dependent variable, 19 factors such as ...
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