Stanescu, Ana Department of Computer Science, College of Science and Mathematics, University of West Georgia, Carrollton, Georgia.
Mata-Toledo, Ramon A. Department of Computer Science, James Madison University, Harrisonburg, Virginia.
Gupta, Pranshu Department of Mathematics and Computer Science, DeSales University, Center Valley, Pennsylvania.
Last reviewed:May 2018
- How do machines learn?
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A branch of artificial intelligence (AI) based on the notion that machines (software applications) can learn from examples and can teach themselves how to solve specific problems without being programmed manually. Recent successes in artificial intelligence have resulted from exponential growth in computational power as well as data generation, allowing machine learning (ML) to spread to other sectors beyond computing sciences. Some of the breakthroughs in data-driven AI are already present in our day-to-day lives, in the form of spam filters, automated fraud detection in financial transactions or insurance claims, conversational agents, digital personal assistants, visual search and photo tagging, speech recognition, and recommendation systems. Other fields in which machine learning is key to decision making are medicine, astronomy, biology, chemistry, genetics, finance, politics, and industrial robotics. In the future, machines will become smarter and will continue to significantly transform our lives (see illustration). In fact, when presented with sufficient data, software applications can even learn novel things that no programmer or domain expert could teach them explicitly. See also: Artificial intelligence; Computer programming; Software
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