This lecture from NPTEL-NOC IITM explores the concept of unlearning and exact unlearning in machine learning, providing a detailed examination of how models can forget or remove specific data points or patterns. Gain insights into the theoretical foundations and practical applications of unlearning techniques, which are becoming increasingly important in privacy-preserving machine learning and data management. Access the complete lecture materials through the provided Google Drive link for a deeper understanding of this emerging field.
Overview
Syllabus
Unlearning
Taught by
NPTEL-NOC IITM