ML & BD: Mental Models for the Data Science Workflow

Mental Models for the Data Science Workflow - Guy Smoilovsky

The "correct" data science workflow is a work in progress. There are many technical problems, not all of which have good tools yet.
To make things more complicated, the number of services and tools is exploding rapidly, and extracting a coherent picture is difficult.

It's a jungle out there.

At DAGsHub, we've interviewed data scientists, team leads, data engineers, and CTOs from over 100 companies in Israel and abroad, trying to get to the bottom of the workflow problems and the solutions people come up with. In this talk, we'd like to share:

• The common patterns we found.
• More unique patterns, and how these divergences are closely linked to the type of problem you're trying to solve.
• An overview of the popular tools for various parts of the workflow.
• Useful techniques and ideas.
• Effective collaboration with experiment tracking, reproducibility.
• A case for better open source data science.
• Memes, dog GIFs.

Speaker: Guy Smoilovsky, CTO & co-founder @ DAGsHub

Google Meetup link: http://meet.google.com/ngu-hgep-tzp

This is a BYO Beer and pizza event :-)