Session leader: Ana Costa In this session you will learn image processing in R. Bring your laptop if you want to try it out! When: 24th May 2019, 14h-16h Location: Vilhelm Bjerknes’ hus, room 123 Who: everybody willing to learn about image processing
Session leader: Dmytro Perepolkin and Lars Nygaard Most investors still invest through expensive traditional active funds although studies clearly show that cheap index funds do better over time and, modern Nobel-prize winning research shows there are fully automated strategies, or so-called factor-based strategies, that do even better. R is today one of the best languages to do prototyping for quantitative investment analysis. Lars will give an introduction on implementing a simple quantitative investing strategy using packages such as quantmod, xts. ...
Session leader: Dmytro Perepolkin and Andrea Chi Zhang A personal website or blog is a great place to record, share and communicate your thoughts and learning process, however the whole procedure might seem complex to those without relevant experience. An R package developed by Yihui Xie, blogdown, makes it easy to build a website using R Markdown and Hugo. Andrea will talk about what is blogdown and why you should use it, and walk you through the basic steps to publish (for free! ...
Session leader: Valeria Vitelli, Lene Norderhaug D., Aurora V., Athanasia Monika Mowinckel, Isabelle V. Bayesian methods for rank and preference data - from recommendation systems to cancer genomics Ranking items is crucial for collecting information about preferences in many areas, from marketing to politics. The interest often lies both in producing estimates of the consensus ranking of the items, which is shared among users, and in learning individualized preferences of the users, useful for providing personalized recommendations. ...
Session leader: Dmytro Perepolkin Choosing best model for your machine learning problem may be daunting task. H2O AutoML simplifies the process of setting up the complex machine learning modeling pipelines to just a few lines of code. You will learn how to make your own stacked ensemble in the first 30 min of the workshop. For those who want to stick around for the rest of the evening, we will go a bit deeper into specification of individual models (GLM, GBM, Neural Networks, etc) and understanding of model performance. ...
Session leader: Annika Rockenberger During this session, we will look at a couple of examples of personal websites of researchers and other academics. We will discuss the advantages and disadvantages of hosting your own website, of having a website at your research institution or university or using commercial platforms like LinkedIn, ResearchGate, Academia.edu etc. We will also look at alternatives, e.g. creating a professional profile website hosted on GitHub. The event is open for anyone! ...
Session leader: Dmytro Perepolkin and Øystein Sørensen Sometimes R code just isn’t fast enough. You’ve used profiling to figure out where your bottlenecks are, and you’ve done everything you can in R, but your code still isn’t fast enough. In this talk you will learn how you can improve performance by rewriting key functions in C++. Rcpp provides a clean, approachable API that lets you write high-performance code with as little friction as possible. ...
Session leader: Annika Rockenberger A short work along trying out alternatives to git bash, especially for Windows users. Bring your laptop. We want to look at editors like Atom, oXygen XML editor, Sublime and others which have git plugins. The goal is to come up with a handy guide on how to make use of git (on Windows) without having to install and run Git Bash, especially if the user doesn’t have admin rights. ...
Session leader: Lene Norderhaug D., Aurora V., Athanasia Monika Mowinckel, Isabelle V. In this workshop, Aurora and Lene will take us through the steps of building a shiny dashboard. We will incrementally build the dashboard, with explanations throughout to help you understand how the components act together. At the end of the workshop, you should enough basic understanding of shiny to be able to start building your own shiny dashboard. ...
Session leader: Anne Fouilloux This is a drop-in session for asking specific problems on Python programming. Come with your specific problem: you are stuck with your program and do not understand why it does not work you are unsure about which python package to use for solving a specific problem you have tried to use a Python package but it does not work as you expected. or come and help: ...