Linear Programming and Simplex Method made intuitive and easy

support vector machines

Support Vector and Kernel Methods

John Shawe-Taylor

at 13:30 mins into the video is a cool intuitive video of the svm process

Time Series Forecasting

click on image

A good resource for statistics basics

Click here to go to the link

Text Mining and Link Analysis for Web and Semantic Web

Description:

The tutorial on Text Mining and Link Analysis for Web Data will focus on two main analytical approaches when analyzing web data: text mining and link analysis for the purpose of analyzing web documents and their linkage. First, the tutorial will cover some basic steps and problems when dealing with the textual and network (graph) data showing what is possible to achieve without very sophisticated technology. The idea of this first part is to present the nature of un-structured and semi-structured data. Next, in the second part, more sophisticated methods for solving more difficult and challenging problems will be shown. In the last part, some of the current open research issues will be presented and some practical pointers on the available tolls for solving previously mentioned problems will be provided.




Text Mining and Link Analysis for Web and Semantic Web

Blaž Fortuna, Marko Grobelnik

3 videos

Book on DataMining and R

This is a great book teaching DataMining using R. You can find examples to do regression as well as time series analysis in this book accompanied by the code you need to run those problems.

Site

Book PDF

Datamining and Learning R

This is a great series of Videos for learning basic data mining and R:

Video Series

This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them.

Matrices -- Linear Algebra

This is a great resource if you wish to brush up on your matrix knowledge

Main Page: http://www.cosmolearning.com/externalsite/mit_math_linearalgebra.html
Video: http://ocw.mit.edu/OcwWeb/Mathematics/18-06Spring-2005/VideoLectures/index.htm

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.