Some machine Learning info

I am going to list things i came across while my feeble attempts at learning machine-learning.


Classification:
E.g. To do document classification we perform at least some of the following tasks.

1. Get some training data, clean and stem the text.
2. Represent your documents as vectors 
3. Perform feature selection
4. Select your classifier and train it, 
5. Run the classification on some test data to see how well it performs

References : http://pauldix.blogs.com/pauldix/goruco/goruco_talk.pdf (have a look at this for a quick overview of classification methods and things like Naive Bayes, SVM, etc)