Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set. Gradient Descent finds the minima of cost function, ...

Linear Regression vs. Multiple Regression Example Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume .

The Data Science Lab. Logistic Regression with Batch SGD Training and Weight Decay Using C#. Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to ...