Software Engineering of Machine Learning Systems

被引：1
|
作者：
Isbell, Charles [1 ]
Littman, Michael L. [1 ,2 ]
Norvig, Peter [3 ,4 ]
机构：
[1] Georgia Tech, Atlanta, GA 30332 USA
[2] Brown Univ, Providence, RI 02912 USA
[3] Stanford Univ, Stanford, CA 94305 USA
[4] Google, Mountain View, CA 94043 USA
来源：
COMMUNICATIONS OF THE ACM | 2023年 / 66卷 / 02期
关键词：
Compendex;
D O I：
10.1145/3539783
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Seeking to make machine learning more dependable.
引用
收藏
页码：35 / 37
页数：3
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