What's the Life Cycle of a Data Scientist

Explore the life cycle of a data scientist in this insightful interview from GOTO Copenhagen 2021. Gain valuable perspectives from three industry experts as they discuss interpretability, expandability, and testing models outside the lab. Learn why the best model might be no model at all and how to simplify workflows for data scientists. Discover the importance of automation in the field and debate whether coding will remain a crucial part of future data science. Delve into topics such as machine learning, artificial intelligence, and deep learning, with a focus on practical applications in computer vision and video analytics.

Intro
Interpretability and expandability
Testing models outside of the lab
The best model is no model
Simplify the workflow for data scientists & perfect automation
Is coding part of the future data sciences?
Outro