You've trained a model, now what? This talk covers different ways to deploy ML models: online prediction, batch prediction, and stream prediction. It also discusses why ML models fail in production and approaches to model monitoring, automated model retraining, and model online evaluation.
Place
En ligne
Les billets virtuels donnent accès aux conférences en rediffusion à partir du lendemain
Room
Salle Coveo
Chip Huyen
Co-founder
Claypot AI
Chip Huyen is an engineer and founder working on infrastructure for real-time…
Chip Huyen is an engineer and founder working on infrastructure for real-time machine learning. Through her work with Snorkel AI, NVIDIA, Netflix, and her current startup, she has helped some of the world’s largest organizations deploy machine learning systems. She teaches CS329S: Machine Learning Systems Design at Stanford and is the author of the upcoming book Designing Machine Learning Systems (O’Reilly, June ‘22). She’s also published four bestselling Vietnamese books.
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