Practical Deployment

Feature Store

A centralized platform for managing, storing, and serving features for ML models.

This concept is essential for understanding practical deployment and forms a key part of modern AI systems.

  • MLOps
  • Feature Engineering
  • Data Pipeline

Tags

practical-deployment mlops feature-engineering data-pipeline

Related Terms

Feature Engineering

The process of selecting, transforming, and creating input features to improve model performance.

MLOps

Practices for deploying, monitoring, and maintaining machine learning models in production, combining ML and DevOps principles.

Added: November 18, 2025

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