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Event description:

Data Privacy and Machine Learning

If data is the new oil, who is giving out the oil rights? In the shadow of the new General Data Protection Regulation, data scientists and machine learning practitioners are asking themselves: whose private data am I using when I train my models and how can I ensure my models respect user privacy? In this talk, we'll cover recent developments in privacy and machine learning which create more robust privacy for users when training simple and deep learning models. About speaker:

Katharine Jarmul is a pythonista and founder of Kjamistan, a data science and machine learning consulting company in Berlin, Germany. She's been using Python since 2008 to solve and create problems. She helped form the first PyLadies chapter in Los Angeles in 2010, and co-authored an O'Reilly book along with several video courses on Python and data. She enjoys following the latest developments in machine learning, natural language processing and workflow automation infrastructure and is generally chatty and crabby on Twitter, where you can keep up with her latest shenanigans (@kjam).

LinkedIn: https://de.linkedin.com/in/katharinejarmul

GitHub: https://github.com/kjam

Twitter: https://twitter.com/kjam

Registration:
@Meetup.com group's event here (https://www.meetup.com/PyData-Bratislava/events/248064044/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-bratislava-meetup-7-pydata-berlin-edition-tickets-43474598695) (if you use both your seat is guarateed). +our event you can find also @Facebook here (https://www.facebook.com/events/861654514037099/).

[Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat]

Language of the event: Julia, Slovak & English

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PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]

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PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users acrossall the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.

The PyData ​Code of Conduct​ governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; leah@numfocus.org).

Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/

Our Twitter account here: https://twitter.com/PyDataBA

Our LinkedIn group here: https://www.linkedin.com/groups/13506080

All materials from previous meetups on GitHub here: https://github.com/GapData/PyData

Organizers:
GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good.

|| Data. Think. Change. ||

NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.

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Sponsors

NumFOCUS

NumFOCUS

Promoting accessible and reproducible computing in science & technology

GapData Institute

GapData Institute

Research & Analyses, Data Science & Data Visualization Consulting

O Reilly Media

O Reilly Media

O Reilly Media, Inc. is an US learning company est. by Tim O'Reilly.

robime.it

robime.it

Portal for IT people & working closely w/IT (consulting, headhunting)

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