
Episode 19: Privacy and Security in Data Science and Machine Learning
Vanishing Gradients
Navigating Privacy Through Differential Technology
This chapter explores the critical relationship between technology and privacy, focusing on the concept of differential privacy and its applications, particularly by Apple. It discusses the significance of maintaining individual anonymity in data collection and analysis, highlighting real-world use cases such as emoji predictions and public data releases. The chapter also examines advanced strategies like federated learning and cryptographic protocols to ensure secure data analysis and integrity without compromising personal information.
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