Friends of Quality, welcome to our 36th podcast episode! Our guests Namrata and Michael discuss various methods of testing machine learning, dealing with flaky tests and AI bias, meta-learning and much, much more! We are looking forward to your feedback – enjoy!
Resources:
previous QualityHeroes podcast episode on machine learning:
https://qualityminds.com/de/qualityheroes-podcast-folge-28-what-is-machine-learning-and-why-should-we-have-a-closer-look-at-it/
QualityMinds page dedicated to machine learning and AI testing:
https://qualityminds.com/services/specialized-qa-services-and-concepts/testing-of-artificial-intelligence-ai-and-machine-learning-ml/
ISTQB AI testing:
https://www.istqb.org/certifications/artificial-inteligence-tester
Machine learning solution for flaky tests:
https://medium.com/fitbit-tech-blog/a-machine-learning-solution-for-detecting-and-mitigating-flaky-tests-c5626ca7e853
Talk on AI Bias and Fairness:
https://youtu.be/wmyVODy_WD8
Drift in machine learning:
https://superwise.ai/blog/everything-you-need-to-know-about-drift-in-machine-learning/
Adversarial attacks:
https://viso.ai/deep-learning/adversarial-machine-learning/
You can find this episode on other platforms:
Feedback, questions and topic requests:
podcast@qualityminds.de
