Data Science meets Data Protection: Keeping your data secure while learning from it.

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We will discuss anonymization and pseudonymization techniques that youcan apply to your data to keep it secure and comply with the law(s)while still being able to gain useful insights from it.We will show concrete Python implementations of various techniques anduse example data sets to show how applying pseudonymization andanonymization will affect our ability to do machine learning - datascience.

Editors Note:

I am looking for editors/curators to help with branches of the tree. Please send me an email  if you are interested.