Thumbnail
Access Restriction
Subscribed

Author Langley, Pat ♦ Simon, Herbert A.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Machine learning is the study of computational methods for improving performance by mechanizing the acquisition of knowledge from experience. Expert performance requires much domain-specific knowledge, and knowledge engineering has produced hundreds of AI expert systems that are now used regularly in industry. Machine learning aims to provide increasing levels of automation in the knowledge engineering process, replacing much time-consuming human activity with automatic techniques that improve accuracy or efficiency by discovering and exploiting regularities in training data. The ultimate test of machine learning is its ability to produce systems that are used regularly in industry, education, and elsewhere.
Description Affiliation: Stanford Univ., Stanford, CA (Langley, Pat) || Carnegie Mellon Univ., Pittsburgh, PA (Simon, Herbert A.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 38
Issue Number 11
Page Count 11
Starting Page 54
Ending Page 64


Open content in new tab

   Open content in new tab
Source: ACM Digital Library