Tania Allard

Tania Allard, a Developer Advocate at Microsoft and Google Machine Learning GDE, dives into the complexities of testing machine learning systems. She reveals a simple scoring formula to monitor system robustness while highlighting the continuous nature of model and infrastructure updates. The conversation touches on the collaboration needed between data scientists and engineers, the challenges of bias detection, and effective use of Jupyter Notebooks. Tania emphasizes the critical role of both manual and automated testing in ensuring quality over time.