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July 12-13, 2017: Training
July 13-15, 2017: Tutorials & Conference
Beijing, China

Strata Data Conference Training

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Training courses takes place 9:00 – 17:00 and are limited in size to maintain a high level of hands-on learning and instructor interaction. Training passes do not include access to tutorials on Thursday.

Breaks:

  • Morning break: 10:30 – 11:00 1st Floor Foyer
  • Lunch: 12:30 – 13:30 Rainbow Room
  • Afternoon break: 15:00 – 15:30 1st Floor Foyer

July 12 — 13, 2017
Included in Platinum and 2-Day Training passes.
Participants should plan to attend both days of this training course.

09:00–17:00 Wednesday, 2017-07-12
Location: 多功能厅6(Function Room 6) 观众水平 (Level): 中级 (Intermediate)
Jike Chong (LinkedIn | Tsinghua University)
平均得分:: ****.
(4.50, 2 次得分)
您想了解互联网金融幕后的量化分析流程吗?个人信用是怎样通过大数据被量化的?在实践过程中,机器学习算法的应用存在着哪些需要关注的方面?怎样通过图谱分析来融合多维数据,为我们区分正常用户和欺诈用户? 这套辅导课基于清华大学交叉信息研究院2017年春天新开设的一门"量化金融信用与风控分析”研究生课。其中会用LendingClub的真实借贷数据做为案例,解说一些具体模型的实现。 Read more.

July 12, 2017
Included in Gold and 1-Day Training passes.

09:00–17:00 Wednesday, 2017-07-12
Location: 多功能厅3B(Function Room 3B) 观众水平 (Level): 中级 (Intermediate)
Carson Wang (Intel), Yucai Yu (Intel), Zhichao Li (Intel), Yiheng Wang (Intel), Daoyuan Wang (Intel)
平均得分:: *****
(5.00, 1 次得分)
这几年随着大数据分析和机器学习等等在工业界中越来越广泛的应用,越来越多的人选择在大数据平台比如Apache Spark之上构建大规模数据处理、分析和机器学习,以便利用大量原始数据和扩展架构。如何深入理解大数据关键技术并更好的运用它们?本次课程将结合当前大数据技术的浪潮和趋势,为您介绍Apache Spark的高级实践和原理解析,帮助您加深领会Apache Spark的精华设计思想,以及如何与流式分析、机器学习,深度学习等紧密结合,在数据采集,分析处理,特征提取,机器学习等方面提供一致性和集成性的高级实践。 Read more.

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