Machine unlearning

Sat, 18 Jul 2026 10:06:25 +0000

Definition

This technique addresses privacy regulations like GDPR’s ‘right to be forgotten’ by allowing models to forget specific user data while retaining general knowledge. It aims to approximate the performance of a model that was never trained on the excluded data. Methods range from exact removal algorithms to approximate gradient-based updates, ensuring compliance and security without the prohibitive computational costs associated with full model retraining.

Summary

Machine unlearning is the process of removing specific data points or their influence from a trained model without retraining it from scratch.

Concept Drift

Sat, 18 Jul 2026 09:51:20 +0000

Definition

Concept drift is a phenomenon in machine learning where the relationship between input features and the target output changes as new data arrives. This often happens in dynamic environments where user behavior or underlying physical processes evolve. If a model is not updated or adapted to these changes, its predictive accuracy will decline. Detecting and handling concept drift is essential for maintaining robust performance in production systems, requiring techniques like retraining or online learning.

Maintenance on English AI Terms Dictionary

Machine unlearning

Definition

Summary

Concept Drift

Definition