Over the last few years the number of startups pitching machine learning as part of their special sauce has increased dramatically. Just a few days ago Tomasz Tunguz asked the question Is Machine Learning Overhyped? and argued it wasn’t.
Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed
So, if a computer is the figure out something without being told exactly what to do, there must be data with patterns that provides the basis for the learning. Here’s a Udacity video titled A Friendly Introduction to Machine Learning.
How does machine learning work?
Take a given set of data that’s known or correct (e.g. these are 10,000 pictures of cars) and have the software classify what it finds (e.g. size, shape, color, etc.) in this “seed” or “learning”, or “training” data (also called “supervised learning”). Now, give…
View original post 366 more words