Publications by Marcin Kosiński
Upcoming Why R? Webinars in October
Why R? Webinars are back after successful launch of Why R? 2020 Conference! All videos from the past series and from the recently finished conference can be watched on our youtube.com/WhyRFoundation channel. See this post to find out about upcoming webinars in October 2020. The aim of webinars is to support local R groups during the pandemic. D...
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Why R? Text Mining Hackathon Summary
It’s been 2 weeks since the end of a Text Mining 2020.whyr.pl/hackathon/ at Why R?. This was a promotional event before the Why R? 2020 conference that aimed to promote knowledge related to text analyses. We prepared 4 various challenges so that teams were able to pick tasks that suit their skills best. At the beginning of this week we publish...
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Why R? 2020 Conference Summary
The fourth edition of Why R? Conference (2020.whyr.pl) finished this weekend. The post presents the highlights of the conference and the overall summary. You can find all videos from the conference on youtube.com/WhyRFoundation channel. Numbers Sponsors Keynotes Discussion Panels Workshops Hackathon People behind the scenes Organizing Committe...
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Jan Vitek – R MELTS BRAINS – or How I Learned to Love Failing at Compiling R
Few weeks ago we finished Why R? 2020 conference. We had an honour to host Jan Vitek, a Professor of Computer Science at Northeastern University. This post contains a biography of the speaker and an abstract of his talk: R MELTS BRAINS – or How I Learned to Love Failing at Compiling R. Wouldn’t you like to have you R code run as fast as C? ...
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Julia Silge – Data visualization for machine learning practitioners
Few weeks ago we finished Why R? 2020 conference. We had an honour to host Julia Silge, a data scientist and software engineer at RStudio PBC. This post contains a biography of the speaker and an abstract of her talk: Data visualization for machine learning practitioners. Visual representations of data inform how machine learning practitioners ...
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Riinu Pius – R for Health Data Science – from clinicians who code to Shiny interventions
Few weeks ago we finished Why R? 2020 conference. We had an honour to host Riinu Pius, a data scientist at the Centre for Medical Informatics, The University of Edinburgh. This post contains a biography of the speaker and an abstract of her talk: R for Health Data Science. Riinu Pius is a data scientist at the Centre for Medical Informatics, T...
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Why R? Webinar – How to start your own rstats group – Building an inclusive and fun R community
This Thursday we have Kyla McConnell and Julia Muller from Freiburg R-Ladies with a talk: How to start your own #rstats group: Building an inclusive and fun R community. 8pm UTC+1 on youtube.com/WhyRFoundation Potentially valuable for every R Group Organizer! meetup event Abstract Ever thought about starting your own R-stats group, whether for l...
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Małgorzata Bogdan – Recent developments on Sorted L-One Penalized Estimation
A month ago we finished Why R? 2020 conference. We had an pleasure to host Małgorzata Bogdan, an associate professor of statistics at University of Wrocław. This post contains a biography of the speaker and an abstract of her talk: Recent developments on Sorted L-One Penalized Estimation. Sorted L-One Penalized Estimator is an extension of LA...
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Roger Bivand – Applied Spatial Data Analysis with R – retrospect and prospect
A month ago we finished Why R? 2020 conference. We had an pleasure to host Roger Bivand, a professor at Norwegian School of Economics and Member of R Foundation. This post contains a biography of the speaker and an abstract of his talk: Applied Spatial Data Analysis with R – retrospect and prospect. When we began over 20 years ago, spatial d...
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Frank Harrell – Controversies in Predictive Modeling and Machine Learning
A month ago we finished Why R? 2020 conference. We had an pleasure to host Frank Harrell, a professor and a founding chair of the Department of Biostatistics at Vanderbilt University School of Medicine.. This post contains a biography of the speaker and an abstract of his talk: Controversies in Predictive Modeling and Machine Learning. Frank is...
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