no code implementations • 21 Mar 2023 • Jacopo Tagliabue, Hugo Bowne-Anderson, Ville Tuulos, Savin Goyal, Romain Cledat, David Berg
As Machine Learning (ML) gains adoption across industries and new use cases, practitioners increasingly realize the challenges around effectively developing and iterating on ML systems: reproducibility, debugging, scalability, and documentation are elusive goals for real-world pipelines outside tech-first companies.
