Personal data de-identification for data science tasks [eng] / Halyna Oliinyk
Автор: fwdays
Загружено: 2020-09-21
Просмотров: 645
Описание:
This is a video from the Data Science fwdays'20 online conference, that was held on August 15, 2020.
Talk description:
The talk will cover the worst and the best ways to de-identify personal and sensitive data inside training datasets to make them compliant with GDPR, CCPA, and other data protection regulations effective in the US and EU, but still useful from a machine learning perspective. Also, key concepts of recent data protection acts and possible resources of the data breach will be discussed.
Talk and presentation:
https://fwdays.com/en/event/data-scie...
More talks and videos from the conference:
https://fwdays.com/event/data-science...
Fwdays has been organizing large-scale conferences for developers for more than 10 years for the following spheres: JavaScript, .NET, Python, Data Science, PHP, QA, Highload, Architecture, DevOps, Databases.
More information about actual events:
https://fwdays.com/event/data-science...
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