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:September 2021
Show previous versions
- How do machines learn?
- Related Primary Literature
- Additional Reading
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, recommendation systems, and autonomous driving. 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. See also: Artificial intelligence; Computer programming; Software
The content above is only an excerpt.
for your institution. Subscribe
To learn more about subscribing to AccessScience, or to request a no-risk trial of this award-winning scientific reference for your institution, fill in your information and a member of our Sales Team will contact you as soon as possible.
to your librarian. Recommend
Let your librarian know about the award-winning gateway to the most trustworthy and accurate scientific information.
AccessScience provides the most accurate and trustworthy scientific information available.
Recognized as an award-winning gateway to scientific knowledge, AccessScience is an amazing online resource that contains high-quality reference material written specifically for students. Contributors include more than 10,000 highly qualified scientists and 46 Nobel Prize winners.
MORE THAN 8700 articles covering all major scientific disciplines and encompassing the McGraw-Hill Encyclopedia of Science & Technology and McGraw-Hill Yearbook of Science & Technology
115,000-PLUS definitions from the McGraw-Hill Dictionary of Scientific and Technical Terms
3000 biographies of notable scientific figures
MORE THAN 19,000 downloadable images and animations illustrating key topics
ENGAGING VIDEOS highlighting the life and work of award-winning scientists
SUGGESTIONS FOR FURTHER STUDY and additional readings to guide students to deeper understanding and research
LINKS TO CITABLE LITERATURE help students expand their knowledge using primary sources of information