Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...

This study presents a useful model of genetic drift by incorporating variance in reproductive success, aiming to address several apparent paradoxes in molecular evolution. However, some of the ...

Abstract: We consider the problem of signal estimation in a generalized linear model (GLM). GLMs include many canonical problems in statistical estimation, such as ...

The Tesla Model Y has been the most popular electric car for a few years now, and it makes sense. The Model Y is reasonably priced for an EV while offering a good range and an excellent software ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

This article illustrates how to build, in less than 5 minutes, a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).

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