Software Engineering in a Data Science Future

被引：0
|
作者：
Hassan, Ahmed E. [1 ]
机构：
[1] Queens Univ, Sch Comp, Kingston, ON, Canada
来源：
2019 IEEE 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER) | 2019年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Machine Learning (ML) advances continue to be headline news. Enormous investments are being poured into Data Science (DS) and Artificial intelligence (AI) initiatives worldwide. Hiring managers are turning every rock looking for ML, DS, and AI experts and even novices! Forbes proclaims software engineers will be replaced by deep learners in the not so distant future. In this talk I will highlight the crucial role of Software Engineering (SE) in this ML/DS/AI future. I will follow it up with a critical look at many of the challenges and risks that such sophisticated advances bring to software research and practice.
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页数：1
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