Historical Perspectives in ML
Shreya explores the intertwined histories of AI and data management, emphasizing the importance of understanding the evolution of tools that support machine learning. She highlights the concept of technical debt in machine learning, referencing a pivotal 2014 paper that shifted focus from just model training to the broader data management ecosystem. Drawing parallels to the foundational work on SQL, she illustrates how separating logical and physical concerns can enhance the development of machine learning systems.In this clip
From this podcast
The Gradient
Shreya Shankar: Machine Learning in the Real World
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