MLOps in Go (Go Time #215)
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The Evolution of Feature Stores in Machine Learning
This chapter features a guest from Tekton discussing the pivotal role of feature stores in machine learning applications, highlighting their importance in MLOps. It explores the journey from the company’s inception to its current status, detailing the creation and function of feature stores as centralized repositories for features used in models. The conversation also addresses the balance between generic and specific features, iterative refinement processes, and the emerging demands for efficient data management in machine learning.
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