Figure 2: Linear Support Vector Regression Epsilon-Insensitive Loss The diagram in Figure 2 gives you a rough idea ... in particular the common stochastic gradient descent (SGD) optimization algorithm ...

For example, sorting algorithms turn unordered data into data ordered by some criteria, often the numeric or alphabetical order of one or more fields in the data. Linear regression algorithms fit ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Looking at the three common types of regression algorithms that you really should ... which variables are most notable predictors. Linear regression draws corresponding trend lines, such as ...