Linear Regression

Linear Regression is a method for fitting a model to data. The most common method for solving the fit involves the method of Least Squares. We will be using the methods in the context of Linear Discriminant Analysis. See also Regression Analysis.

Integrals, Bayesian Belief Networks, etc...

Wolfram provides the Integrator for symbolic integration on the web! Use it, it's free, saves a lot of time looking up integral itentities in your old calc book.

For more info on topics covered in class, you might consider
Wikipedia. Eric Weinsteins Mathworld is also a super valuable resource for understanding the math we deal with in this class.

Dont forget that there are slides that go along with the book at the book's website.