What is Feature Store in Machine Learning |

What is Feature Store in Machine Learning | #Mlopstutorial #featurestore #machinelearning
A feature store is a centralized repository that houses and manages various features used in machine learning models. It enables machine learning engineers to store, share, discover and manage features used in generating training datasets for machine learning models.
By maintaining a centralized feature store, data scientists can collaborate more efficiently, as well as easily reuse and repurpose features across different machine learning tasks. Moreover, the feature store can provide a robust infrastructure for feature tracking, versioning and testing, and might support feature engineering tools and automation with pipelines that help to facilitate model training in production.
The Feature Store enables organizations to automate the process of building and maintaining reliable feature data sets that can scale across teams, tools and workflows accelerating the development and deployment of machine learning models.
Feast Implementation Live Code Explanation: • Feast as Feature Store...
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[@AshutoshTripathi_AI]

Feast as Feature Store in Machine Learning live Demo th-cam.com/video/iZ8R_EUf_pM/w-d-xo.html

[@michaeld9682]

Good job

[@AshutoshTripathi_AI]

Thank you

[@taeefnajib]

You are delivering a very important topic, which is often ignored by a lot of educators. Thank you Ashutosh. Respect from Bangladesh.

[@AshutoshTripathi_AI]

Thank you Taeef Najib for your kind words. 🙏😇

[@geetatripathi9335]

Good

[@AshutoshTripathi_AI]

🙏

[@hemantmishra6879]

Good explanation Ashutosh

[@AshutoshTripathi_AI]

Thank you Hemant 🙏

[@user-rw6ul9zr8o]

Sir, can we used feast for image data? How can implement it?
actually saw your video on feast on machine learning model. I am trying implement for image data for image classification, but I have
got error.
sir can you make video on it. thank you

[@AshutoshTripathi_AI]

Yes you can use to store the feature vectors