O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国
Shengsheng Huang

Shengsheng Huang
Big Data Software Architect, Intel

网站

Shengsheng (Shane) Huang is a software architect at Intel and an Apache Spark committer and PMC member, leading the development of large-scale analytical applications and infrastructure on Spark in Intel. Her area of focus is big data and distributed machine learning, especially deep (convolutional) neural networks. Previously at the National University of Singapore (NUS), her research interests are large-scale vision data analysis and statistical machine learning.

Shengsheng(Shane)Huang是英特尔的软件架构师,也是Apache Spark的贡献者和PMC成员。她领导着英特尔基于Spark的大规模分析应用和基础架构的开发。她关注的领域是大数据和分布式机器学习,尤其是深度(卷积)神经网络。她之前就读于新加坡国立大学(NUS),研究兴趣是大规模视觉数据分析和统计机器学习。

议题

14:00–14:40 Friday, 2017-07-14
AI应用 (AI applications)
地点: 报告厅(Auditorium) 观众水平 (Level): 中级 ()
Zhichao Li (Intel), Shengsheng Huang (Intel), Yiheng Wang (Intel)
平均得分:: ****.
(4.33, 3 次得分)
Zhichao Li, Shengsheng Huang, and Yiheng Wanghow explore how data scientists have adopted BigDL for deep learning analysis on large amounts of data in a distributed fashion, allowing them to use their big data cluster as a unified data analytics platform for data storage, data processing and mining, feature engineering, traditional (non-deep) machine learning, and deep learning workloads. 了解更多信息.

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