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

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome ... regression uses ...

Regression is of use to professionals in a wide range of fields, from science and public service to financial analysis. To perform a regression analysis, a statistician collects a set of data ...

She holds a Bachelor of Science in Finance degree ... the better the function fits the data points in the set. Nonlinear regression uses logarithmic functions, trigonometric functions, exponential ...

It’s widely accepted today that the phrase “big data” implies more than just storing ... involves a fairly simple computation known as linear regression. Once created, the regression formula can be ...

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, ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...