Speaker: Michael Reid (Amazon)
Location: KPMG Vancouver 777 Dunsmuir St, 11th floor, Vancouver
Talk: 18:30 – 19:30
Reception: 18:00 – 18:30
Registration: Link for registration
Slides: Available here
Description
As machine learning becomes more critical to businesses’ core offerings, data scientists must adapt their tools and techniques to meet business demands. Industry data scientists can no longer run ad hoc Tensorflow or Spark jobs against local data sets; they must now handle cloud computing, high availability and disaster recovery, and real-time analysis. We present an overview of the modern data science software landscape, with an emphasis on tools data scientists can use to design a scalable and productionized machine learning system. We will also briefly look at the future of data science software, including GUI-based data science tools and stream processing platforms.
