all AI news
Do You Really Need a Feature Store?
Feb. 3, 2022, 8:51 p.m. | Lak Lakshmanan
Towards Data Science - Medium towardsdatascience.com
In the majority of cases, a feature store is overkill
It appears that every sophisticated ML team has built a feature store for their ML platform. Uber built Palette. Airbnb built Zipline. Netflix built Time Travel. Google Cloud worked with our customer GoJek to build Feast.
Fortunately, you no longer need to build or manage your own. Google Cloud Vertex AI offers a fully managed feature store as does Sagemaker. There are even companies like …
feature engineering feature-store google cloud platform machine learning vertex-ai
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Modeler
@ Sherwin-Williams | Cleveland, OH, United States