Alex Rivera | Logout

What is a good first-implementation for learning machine learning?

Asked 2010-07-05T02:25:41.237
14

I find learning new topics comes best with an easy implementation to code to get the idea. This is how I learned genetic algorithms and genetic programming. What would be some good introductory programs to write to get started with machine learning?

Preferably, let any referenced resources be accessible online so the community can benefit

Edit
Report

2 Answers

4

I think you can write a "Naive Bayes" classifier for junk email filtering. You can get a lot of information from this book.

http://nlp.stanford.edu/IR-book/information-retrieval-book.html

answered 2010-07-05T02:30:25.550
1

Decision tree. It is frequently used in classification tasks and has a lot of variants. Tom Mitchell's book is a good reference to implement it.

answered 2010-07-05T02:54:38.130

Your Answer