Table of Contents

1 Background

  • Time: April 30 - May 3
  • Location: Hynes Convention Center

2 Topics

  • Data Storytelling
  • Data Science Teams
  • Data Science in Finance
  • DataViz
  • Deployment and Testing
  • Engineering, Infrastructure, and Data Science
  • Interpretability, Testing, and Debugging
  • Pre-processing, Training, and Post-processing Workflow

3 Training and Workshops

  • Artificial Intelligence in Finance
  • Building an Open Source Streaming Analytics Solution with Kafka and Druid
  • Deciphering the Black Box: Latest Tools and Techniques for Interpretability
  • Engineering For Data Science Part 1
  • Good, Fast, Cheap: How to do Data Science with Missing Data
  • Reproducible Data Science Using Orbyter

4 Talks and Workshops

  • Building Highly Autonomous Marketing Automation Systems
  • Centurion: Uber’s experimentation monitoring tool
  • Data Storytelling – communicating your data-driven ideas with impact
  • Data Storytelling: The Essential Data Science Skill
  • How LinkedIn navigates Streams Infrastructure using Cruise Control
  • Machine Learning for Digital Identity

Author: Jason Walsh

Created: 2020-07-31 Fri 17:51