Speaker: Shreya Rajpal
Founding Engineer @Predibase
Shreya is a Sr. ML Engineer and Domain Lead for ML Infrastructure at Predibase. Her work involves building scalable solutions for ML training and inference that improve the stability, robustness and effectiveness of ML model training. Previously, she'd worked on using state of the art ML models to solve problems in autonomous systems.
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Session
Declarative Machine Learning: A Flexible, Modular and Scalable Approach for Building Production ML Models
Building ML solutions from scratch is challenging because of a variety of reasons: the long development cycles of writing low level machine learning code and the fast pace of state-of-the-art ML methods to name a few.
Slides are not available