What is Differential Privacy? Privacy can be quantified. Better yet, we can rank privacy-preserving strategies and say which one is more effective.
_Summary: Sometimes knowing the basics is important! This beginner friendly blog post covers a quick and easy introduction to Differential Privacy and is part of “Differential Privacy Basics Series”. Thank you _Jacob Merryman_ for the amazing graphic used in this blog post. For more posts like these on Differential Privacy follow__ Shaistha Fathima__ and _OpenMined_ on twitter._
Before we dive deeper into Differential Privacy (DP) and answer the 4 W’s and an H (What, Where, When, Why and How), few of the most important questions that you must ask yourself are… What is Privacy? Should we really care about it? How does it matter?…
Applications of Differential Privacy to European Privacy Law (GDPR) and Machine Learning. How differential privacy can protect your data, and help you comply with government regulations
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
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Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.