In our next MünsteR R-user group meetup on Tuesday, July 9th, 2019, we will have two exciting talks about Word2Vec Text Mining & Parallelization in R! You can RSVP here: https://www.meetup.com/de-DE/Munster-R-Users-Group/events/262236134/ Thorben Hellweg will talk about Parallelization in R. More information tba! Maren Reuter from viadee AG will give an introduction into the functionality and use of the Word2Vec algorithm in R. Text data in its raw form cannot be used as input for machine learning algorithms.
This spring, I’ll be giving talks at a couple of Meetups and conferences: March, 26th: At the data lounge Bremen, I’ll be talking about Explainable Machine Learning April, 11th: At the Data Science Meetup Bielefeld, I’ll be talking about Building Interpretable Neural Networks with Keras and LIME May, 14th: At the M3 conference in Mannheim, a colleague and I will give our workshop on building production-ready machine learning models with Keras, Luigi, DVC and TensorFlow Serving
In our next MünsteR R-user group meetup on Tuesday, April 9th, 2019, we will have two exciting talks: Getting started with RMarkdown and Trying to make it in the world of Kaggle! You can RSVP here: http://meetu.ps/e/Gg5th/w54bW/f Getting started with RMarkdown First, Niklas Wulms from the University Hospital, Münster will give an introduction to RMarkdown: He started using R in 2018 and learnt the advantages of using only one framework of free software and code.
In our next MünsteR R-user group meetup on Tuesday, February 5th, 2019, titled Don’t reinvent the wheel: making use of shiny extension packages., Suthira Owlarn will introduce the shiny package and show how she used it to build an interactive web app for her sequencing datasets. You can RSVP here: http://meetu.ps/e/Gg5th/w54bW/f Shiny is a popular R package for building interactive web apps and dashboards – no web development knowledge required!
At the upcoming This week in machine learning and AI European online Meetup, I’ll be presenting and leading a discussion about the Anchors paper, the next generation of machine learning interpretability tools. Come and join the fun! :-) Date: Tuesday 4th December 2018 Time: 19:00 PM CET/CEST Join: https://twimlai.com/meetups/trust-in-predictions-of-ml-models/
During my stay in London for the m3 conference, I also gave a talk at the R-Ladies London Meetup on Tuesday, October 16th, about one of my favorite topics: Interpretable Deep Learning with R, Keras and LIME. Keras is a high-level open-source deep learning framework that by default works on top of TensorFlow. Keras is minimalistic, efficient and highly flexible because it works with a modular layer system to define, compile and fit neural networks.
In our next MünsteR R-user group meetup on Tuesday, November 20th, 2018, titled Using R to help plan the future of transport, Mark Padgham will provide an overview of several inter-related R packages for analysing urban dynamics. You can RSVP here: http://meetu.ps/e/F7zDN/w54bW/f The primary motivation for developing these packages has been their use in Active Transport Futures - a group of researchers and coders striving to aid cities to better plan for futures in which active travel, particularly walking and cycling, plays an increasingly prominent role (lots of open source code at github.
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