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Privacy-Aware Machine Learning and Data Science

Workshop description

We'll learn how to apply core privacy principles and techniques to the data science and machine learning workflows. We'll also look at how to experiment with Python open-source libraries to ensure privacy-preservation in machine learning.

Usage

About the workshop giver

Katharine Jarmul is a privacy activist and data scientist whose work and research focus on privacy and security in data science workflows. She recently authored Practical Data Privacy for O'Reilly and works as a Principal Data Scientist at Thoughtworks. Katharine has held numerous leadership and independent contributor roles at large companies and startups in the US and Germany - implementing data processing and machine learning systems with privacy and security built-in and developing forward-looking, privacy-first data strategy.

Credits

This workshop was set up by @pyladiesams