研讨会

机器学习的工作流程,在规模:挑战和解决方案(第一部分)

周四,2019年10月24日
下午5:30至下午6:30 PDT
阿布舍克·库马尔

Building end-to-end machine learning workflow is very crucial for enterprises 至 realize full potential from their AI & ML investment. However, it is one of the most challenging part especially when coupled with the problem of scale. In this session, you will learn about the challenges and potential solutions for building and maintaining large scale machine learning workflows for enterprises? You will also learn about common architectural patterns and best practices while designing AI & ML based products or services.

阿布舍克·库马尔 是数据科学系狮睿智的,他是专注于零售,电子商务,市场营销和运营优化应用在机器学习方法的机会高级经理。他完成了他在PVC门在2016年学校中频度。

最近更新时间:

2019年10月29日