PyData Bratislava Meetup #6 [TIM: Large-scale Forecasting for Energy in Julia]

Event description:

Why Tangent Works chooses Julia: The Two Language Problem

TIM: Automatic Model Building for Energy Industry

Julia and its major differences to other technical computing languages (R, Matlab, ...)

• Why is vectorized code fast?
• Why is it not as fast as it could be?

About speaker:

Ján Dolinský, Tangent Works (www.tangent.works)

received the M.S. degree from the Technical University of Kosice, Kosice, Slovakia, in 2004. He was granted honorary scholarship of the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan, in 2005 and received the degree of Doctor of Engineering from the Kyushu University, Fukuoka, Japan, in 2009. He was awarded a Japan Society for the Promotion of Science (JSPS) fellowship in 2010.

From 2004 to 2005, he was a System Engineer at the Oracle Corporation, Prague, Czech Republic. He joined ESET in 2011. In 2013, he co-founded Tangent Works, an applied machine learning company.

His research interests include Julia language, automatic model building, experiment design, complex and hypercomplex numbers in intelligent systems (neural networks and recurrent neural networks), Clifford algebra, curse of dimensionality, computational biology, handwriting, complex network theory, and nonlinear estimation.

LinkedIn: https://www.linkedin.com/in/j%C3%A1n-dolinsk%C3%BD-6707523/

Registration:

@Meetup.com group's event here (https://www.meetup.com/PyData-Bratislava/events/247525053/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-bratislava-meetup-6-tim-large-scale-energy-forecasting-in-julia-tickets-42885765479) (if you use both your seat is guarateed). +our event you can find also @Facebook here (https://www.facebook.com/events/2005518216385216).

[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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This meetup group is for Data Scientists, Statisticians, Economists and Data Enthusiasts using Python for data analysis and data visualization. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.

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).

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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.