With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.
Originally from KDnuggets https://ift.tt/3axACgE
source https://365datascience.weebly.com/the-best-data-science-blog-2020/feature-store-as-a-foundation-for-machine-learning
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