Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...

Catherine Falls Commercial/Getty Images Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

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 ...

solving linear regression problems, often form the core of large scale computations. This course will describe efficient techniques for solving problems such as these. Both the theoretical foundations ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

In the more realistic scenario of dependence on several variables, we can use multiple linear regression (MLR ... reduce interpretability and cause problems with multiple testing.