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, ...

It is assumed students have taken at least a first course in linear algebra. Previous programming experience ... A solid coverage of the most important parts of the theory and application of ...

In this module, we will learn how to fit linear regression models with least squares. We will also study the properties of least squares, and describe some goodness of fit metrics for linear ...

depending on the form of the linear regression equation. Likewise, it’s possible to use algebra to transform a nonlinear equation so that it mimics a linear equation—such a nonlinear equation ...

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.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

This semester I was fortunate to have only one prep — two sections of Linear Algebra. Linear algebra, for me, is the cornerstone of a modern mathematics education precisely because its concepts ...