Coffee Sessions #61

ML Tests

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?

Take-aways

In this episode

Svet Penkov

Svet Penkov

CEO & Co-founder, Efemarai

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.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.