What Is Machine Learning?
Machine learning and artificial intelligence are two of the big frontiers in data analytics and artificial intelligence. Now more than ever, organizations are setting serious goals around implementing machine learning models across all areas of business. But what does machine learning really mean? And what does machine learning look like in practice?
First, the question of “what is machine learning?” Put simply, machine learning allows computers to “learn” patterns and rules from historical data in order to perform tasks without explicit instructions. Because machine learning models replace manual programming with intelligent automation, data scientists are able to arrive at conclusions in a fraction of the time it would have taken them—and that’s if it were possible for the model to be manually recreated at all. Machine learning has been particularly attractive to customer behavior and fraud detection initiatives, but the applications for machine learning abound and show no sign of slowing. According to Deloitte, machine learning programs doubled from 2017 to 2018 and are expected to double again by 2020.