ML Tests
Speakers

Svet has been building robots ever since he was a kid. At some point, Svet got interested in not just how to build them, but actually how to make them think, and so he did a Ph.D. in AI & Robotics at the University of Edinburgh, UK. Towards the end of Svet's Ph.D., he joined FiveAI as a Research Scientist and led the motion prediction team for 3 years.
Throughout his career, Svet spent endless hours fixing model regressions and fighting with edge cases and so at some point he had enough of it and decided it's time to do something about it. That's how Svet started Efemarai where they are building a platform for testing and improving ML continuously.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.
SUMMARY
How confident do you feel when you deploy a new model? Does improving an ML model feel like a game of "whack-a-mole"? ML is taking over all sorts of industries and yet ML testing tools are virtually non-existent. Drawing parallels from software engineering and electronic circuit board design to the aviation and semiconductor industries, the need for principled quality assurance (QA) step in the MLOps pipeline is long overdue. Let's talk about why ML testing is hard, what can we do about it and what place should ML QA take in the future?

