From Crude Rules for Classification to Machine Learning

I recently gave a lecture at a college in Bangalore where I explained to a roomful of undergrads how machine learning algorithms can be constructed incrementally starting from crude rule-based algorithms.  I explained how you could start with a list of words and make incremental improvements till you obtained a Naive Bayesian Classifier.

Here are the slides on the transition from crude rule based methods to machine learning that I presented at the college (showing how the incremental transition can be made).

• Linguistics
• Machine Learning