This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

Regression analysis is a statistical technique that models the relationship between one or more independent variables (also called predictors or features) and a dependent variable (also called ...

Furthermore, we illustrate that the maximal correlation regression is deeply connected to several existing approaches in information theory and machine learning, including the universal feature ...

and a variety of machine learning models commonly used for regression. It also includes a detailed example of applying regression models for electricity load forecasting using real-world data.

We hear about applications of machine learning on a daily basis, although not all of them are unalloyed successes. Self-driving cars are a good example ... Logistic Regression, K-Nearest Neighbors ...

This research uses machine learning ... during linear regression. This model is based on R-squared analysis that can measure the relationship between dependent and independent variables in 2 (two) or ...