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Spotkania Entuzjastów R mają na celu integrację środowiska użytkowników i entuzjastów analizy danych z użyciem programu R. Spotkania organizowane są co miesiąc w czwartki w godzinach popołudniowych. Każde spotkanie składa się z dwóch półgodzinnych prelekcji rozdzielonych półgodzinną przerwą na spokojną dyskusję w kuluarach.

Udział w spotkaniach jest bezpłatny, wymagana jest jednak wcześniejsza rejestracja.

Zapraszamy nowicjuszy i weteranów, każdy znajdzie coś dla siebie!

YouTube channel: https://www.youtube.com/channel/UCq1v6SmgtmJeWDUtIKr0nVw

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Współdzielimy konto na meetupie z R-Ladies Warsaw inicjatywą promującą kobiety programujące w R.

Enthusiasts R Meetup aims at integrating community of users and data analysis enthusiasts using R. Meetings are held every month on Thursdays. Each meeting consists of two half-hour lectures separated by a half-hour break for a quiet discussion on the sidelines.

Participation in meetings is free, but requires pre-registration.

We invite novices and veterans, everyone will find something for everyone!

Meetup account is shared with R-Ladies Warsaw promoting women in rstats.

YouTube channel: https://www.youtube.com/channel/UCq1v6SmgtmJeWDUtIKr0nVw

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Upcoming events (1)

25.04.19 Why R? Pre-meeting: Segmentation with NMF + R in palaeontology

Wydział Matematyki i Nauk Informacyjnych Politechniki Warszawskiej

Room 329, Faculty of Mathematics and Information Science This pre-meeting promots - Why R? 2019 Conference http://whyr.pl/2019/ - EARLY BIRD Registration http://whyr.pl/2019/register/ - Call for Papers http://whyr.pl/2019/submit/ Plan 18:00 - 18:05 Opening 18:05 - 18:35 Marcin Kosinski: Segmentation with NMF decomposition 18:35 - 19:00 break 19:00 - 19:30 Using R in palaeontology 20:00 - afterparty TBA # Descriptions ## Segmentation using NMF decomposition From the nowadays segmentation, we require them to follow below features: - it should be balanced, - segments should be distinctive, - the discovered over and under indexed features within segments should create a meaningful story, - and in the best case the amount of differentiative factors that drives segmentation should be small. The last requirement often is a bottleneck in the scenario of a survey where respondents are asked enormous amount of questions. The solution, one from many, to this use case can be the nonnegative matrix factorization that in a one attempt segments respondents and their features! I'll present concept of the NMF decomposition and I'll present applications in R, with the explanation of diagnostic plots. Working with high dimensional data? Often facing the need to group observations? That's a good presentation for you. ## Using R in palaeontology During the last years, data science (and R) became more and more popular in various areas of research. One of the probably most exotic domains of such usage is palaeontology. I'll show you a case study (coming directly from my PhD research), where domain expert knowledge is mixed with data science approach. Trilobites are one of the most fascinating extinct animals. Various shapes, sizes, environments, modes of life - all within one extinct group. Describing their systematics can lead to more complex conclusions about the shape of the whole ancient world. Trilobites from the Holy Cross Mountains are an excellent example of such importance. Laying between two major paleocontinents - Baltica and Gondwana - the exact position of this small area during Cambrian is still unclear. Studying trilobites can help in resolving this puzzle, but such old fossils suffer from various deformations, so the true diversity is hidden behind the 500 million years of history. In such cases, data science tools can help in removing the noise. I'll show you, how to use Principal Component Analysis with landmark-type data, how to remove bias, and how to interpret the results. # Speakers bio Jakub Nowicki holds the PhD degree in Earth Sciences. He is an expert in morphometry and Cambrian trilobites. Currently, he works in Appsilon as a Software Engineer. Marcin Kosiński has a master degree in Mathematical Statistics and Data Analysis specialty. Challenges seeker and devoted R language enthusiast. In the past, keen on the field of large-scale online learning and various approaches to personalized news article recommendation. Community events host: organizer of Why R? conferences. Interested in R packages development and survival analysis models. Currently explores and improves methods for quantitative marketing analyses and global surveys at Gradient Metrics. # Sponsors The event will be sponsored by Appsilon. Appsilon delivers the most advanced R Shiny apps, data science consulting services and support with R Shiny and Python Dash technologies. www: https://appsilon.com fb: https://fb.com/appsilondatascience twitter: https://twitter.com/appsilonds linkedin: https://linkedin.com/company/appsilon/

Past events (42)

5th Anniversary of RUG & Perturbation based explanations of ML predictions

Sala 107 Wydziału Matematyki i Nauk Informacyjnych Politechniki Warszawskiej

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