Data Science Challenges @ LinkedIn

被引：0
|
作者：
Xu, Ya [1 ]
机构：
[1] LinkedIn, Data Sci Team, Mountain View, CA 94043 USA
来源：
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING | 2019年
关键词：
D O I：
10.1145/3292500.3340418
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
I plan to talk about a few big challenges we have at LinkedIn in the space of Data Science. The ones coming to my mind are (1) Measuring long-term impact; (2) Learning while preserving privacy; (3) Fairness. I can also touch upon productivity and efficiency - which is a very practical challenge I'm sure all DS organizations face.
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收藏
页码：3170 / 3170
页数：1
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