For the last two decades, the A.I. and machine learning have been thrown around with more and more frequency. Research centers are investing in their development, more companies are using them to promote their products and – of course – more movies using them because they sound cool.
But what do they actually mean?
Artificial Intelligence is a technique for building systems that mimic human behavior or decision-making. Machine Learning is a subset of AI where algorithms are created which learn from data sets in order to solve specific tasks. These solvers are trained models of data that learn based on the information provided to them. All of this is derived from probability theory and linear algebra. ML algorithms use our data to learn and automatically solve predictive tasks.
And let’s be honest: is there a better way to use A.I. and machine learning than searching for the best spots …