As I have written in my last two articles (Machine Learning Everywhere and Preparing Data for Machine Learning), machine learning is influencing our lives in numerous ways.
Machine learning is everywhere, and although the theory and practice both can take some time to learn and internalize, the basics are fairly straightforward for people to learn.
The basic idea behind machine learning is that you build a model—a description of the ways the inputs and outputs are related. This model then allows you to ask the computer to analyze new data and to predict the outputs for new sets of inputs. This is essentially what machine learning is all about.
Selected by Galigio via Computer Borders