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Data Science in Troubled Times - Slides

CoreyS
Community Manager
Community Manager
0 min read 1 1 586

The COVID-19 crisis has impacted data science activities in various ways: from the raw material, data, to the constraints and needs of our organizations and the way we work and interact with colleagues.

@VivienT (Director of AI Consulting, Dataiku) and @Léo (Research Director, Dataiku) shared guidelines and practical tips from their experience working in the field with Dataiku's customers and partners. The presentation addresses the following topics to help data practitioners better navigate these times: 

  • Reframing data science projects,
  • Detecting broken models,
  • Retraining models,
  • Doing data science from afar,
  • Developing new skills.

How does this compare to your own experience? Comment below!

Finally, feel free to to read about our recap from our Exchange on Best Practices & Pitfalls of Remote Data Science Work.

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