What Is Machine Learning?
Machine learning (ML) is a method of data analysis—and a type of artificial intelligence—that automates analytical model building, based on the idea that systems can learn from data, identify patterns, and make decisions with little human intervention. With ML, users input large amounts of data into an algorithm, which enables the computer to make recommendations and decisions based on that data. ML features are found in smartphones and smart devices in the form of , including features like predictive text, speech recognition, computational photography, and so on. ML gives smart devices the ability to become more and more intuitive and proactive. Because ML relies on massive amounts of data, it is most often associated with intelligent devices within the Internet of Things (IoT).
Why Machine Learning?
Machine learning enables companies to make better, more informed, nimbler decisions based on real-time data. Data-driven decisions help companies open new successful lines of business and optimize current operations. Machine learning has applications across industries, from manufacturing and retail to healthcare to financial services to energy and utilities. It supports predictive maintenance, upselling and cross-channel marketing, disease identification, dynamic pricing, risk analytics, supply optimization, and more.