Transitioning to Production
Doris shares her incredible journey from PhD research to launching her company, tackling a significant challenge faced by data scientists: the cumbersome transition from Jupyter notebooks to production-ready models. She highlights how this often leads to extended timelines and the need for specialized skills in machine learning engineering. With just a few lines of code, Doris aims to simplify this process and enhance efficiency in model deployment.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 573: Automating ML Model Deployment — with Doris Xin
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