Differential privacy

In the first part of this series, we discussed the importance, ethical considerations, and challenges of data anonymization. Now, let's dive into various data anonymization techniques, their strengths, weaknesses, and their implementation in Python. 1. Data Masking Data masking, or obfuscation involves hiding original data with random characters or data. This technique protects sensitive information like credit card numbers or personal identifiers in environments where data integrity is not critical. However,…

Recommender systems have become an integral part of our daily lives, powering the personalized recommendations that we receive on social media, e-commerce platforms, and streaming services. These systems are designed to make our lives easier by suggesting products, services, and content that are relevant to our interests and preferences. However, as powerful as these systems are, they are not perfect, and there are concerns about their fairness, especially in terms of how they impact marginalized groups.  In this article,…