Using Machine Learning

Abstract

Artificial intelligence (AI) has been around since the 1960s. In those early days, computer scientists dreamed of intelligent computers that could think, but the reality proved far less breathtaking. The biggest obstacle to AI was that computer scientists had to mimic intelligence by anticipating all situations. In limited domains like chess, this worked, but when dealing with large amounts of data, this primitive solution failed because it’s impossible to anticipate all possible situations that might occur in most cases. That’s why the latest developments in AI focus less on hand coding all possibilities and focuses more on machine learning.