交叉口(航空)
计算机科学
人工智能
芯(光纤)
大数据
机器学习
计算
撒谎
数据科学
工程类
数据挖掘
算法
医学
电信
放射科
航空航天工程
作者
Michael I. Jordan,Tom M. Mitchell
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2015-07-16
卷期号:349 (6245): 255-260
被引量:7223
标识
DOI:10.1126/science.aaa8415
摘要
Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today’s most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing.
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