This is probably the first post I should have written on the blog. The thing is, I did machine learning and natural language processing for a long time before putting the concepts in order inside my own mind.
I’ve learned techniques and hacks to boost precision of classifiers before fully understanding how a classifier computes its weights or whatever. So I guess it makes sense to publish a general introductory post after some real hands-on posts.
Here’s a popular diagram used to describe what data science usually implies: