xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Food can have many effects on your mood and emotions. Sugar is no exception. Research suggests that sugar consumption may increase your risk for depression. We look at the reasons behind this ...

Variance is a measurement of the spread between numbers in a data set. Investors use the variance equation to evaluate a portfolio’s asset allocation.

Incremental Attribute Learning (IAL) gradually trains features in one or more size, which can be used to solve regression problems. Previous studies showed that feature ordering is crucial to IAL, and ...

This repo goes over Linear Regression and all the important stuff around it, like Gradient Descent, Multiple Linear Regression, Ridge, Lasso, and Elastic Net. At the end, I’ll add a couple of projects ...

This paper analytically derives closed-form expressions of the uplink received-signal's polarization-parameterized spatial-correlation-coefficient functions across the basestation antenna-array's ...

To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.