Roses are red /
Violets are blue /
For this classifier /
A single feature will do.
How do you learn, machine learning? I’m not quite sure yet (4/16/17), but perhaps we’ll find a line of best fit…
What is machine learning? We try our level best here to clarify and focus on a small handful of meaningful definitions, sans the buzzword bingo.
Spoiler alert: The first type of machine learning contains a lot weight on having clean, correctly labeled data and understanding the best applications of linear algebra.
The data you have and what you do with it is a fundamental differentiation in any situation. In machine learning, this lends itself to a completely different classification of ML algorithms.
