Community Conundrum 25:Feature Visualization is now live! Read More

Data Science in Troubled Times - Slides

Community Manager
Community Manager
1 1 226

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.

1 Comment
Community Manager
Community Manager

An introduction to Data Science Remote Work

On June 25th, we'll explore how 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) will share guidelines and practical tips from their experience working in the field with Dataiku's customers and partners. The following topics will be addressed 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.

If you’re interested in learning more about Anomaly Detection, please join us next week!

For more resources about Data Science Remote Work: