Blog Archives

July 5th & 6th in Münster: Workshop on Deep Learning with Keras and TensorFlow in R

May 21, 2018
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July 5th & 6th in Münster: Workshop on Deep Learning with Keras and TensorFlow in R

Registration is now open for my 1.5-day workshop on deep learning with Keras and TensorFlow using R. It will take place on July 5th & 6th in Münster, Germany. You can read about one participant’s experience in my last workshop: Big Data – a buzz word you can find everywhere these days, from nerdy blogs to scientific research papers and even in...

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Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

May 13, 2018
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Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang: Sketchnotes from TWiMLAI talk: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang You can listen to the podcast here. In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist...

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Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

May 13, 2018
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Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang: Sketchnotes from TWiMLAI talk: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang You can listen to the podcast here. In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist...

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Comparing dependencies of popular machine learning packages with `pkgnet`

April 29, 2018
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Comparing dependencies of popular machine learning packages with `pkgnet`

When looking through the CRAN list of packages, I stumbled upon this little gem: pkgnet is an R library designed for the analysis of R libraries! The goal of the package is to build a graph representation of a package and its dependencies. And I thought it would be fun to play around with it. The little analysis I ended up...

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Slides from my JAX 2018 talk: Deep Learning – a Primer

April 26, 2018
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Slides from my JAX 2018 talk: Deep Learning – a Primer

Here I am sharing the slides for a talk that my colleague Uwe Friedrichsen and I gave about Deep Learning - a Primer at the JAX conference on Tuesday, April 24th 2018 in Mainz, Germany. Slides can be found here: https://www.slideshare.net/ShirinGlander/deep-learning-a-primer-95197733 Deep Learning is one of the “hot” topics in the AI area – a lot of hype, a lot of...

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Sketchnotes from TWiML&AI #121: Reproducibility and the Philosophy of Data with Clare Gollnick

April 21, 2018
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Sketchnotes from TWiML&AI #121: Reproducibility and the Philosophy of Data with Clare Gollnick

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Reproducibility and the Philosophy of Data with Clare Gollnick: Sketchnotes from TWiMLAI talk #121: Reproducibility and the Philosophy of Data with Clare Gollnick You can listen to the podcast here. In this episode, i’m joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts...

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Update: Can we predict flu outcome with Machine Learning in R?

April 21, 2018
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Update: Can we predict flu outcome with Machine Learning in R?

Since I migrated my blog from Github Pages to blogdown and Netlify, I wanted to start migrating (most of) my old posts too - and use that opportunity to update them and make sure the code still works. Here I am updating my very first machine learning post from 27 Nov 2016: Can we predict flu deaths with Machine Learning...

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Look, something shiny: How to use R Shiny to make Münster traffic data accessible. Join MünsteR for our next meetup!

April 18, 2018
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Look, something shiny: How to use R Shiny to make Münster traffic data accessible. Join MünsteR for our next meetup!

In our next MünsteR R-user group meetup on Monday, June 11th, 2018 Thomas Kluth and Thorben Jensen will give a talk titled Look, something shiny: How to use R Shiny to make Münster traffic data accessible. You can RSVP here: http://meetu.ps/e/F7zDN/w54bW/f About a year ago, we stumbled upon rich datasets on traffic dynamics of Münster: count data of bikes, cars,...

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HH Data Science Meetup slides: Explaining complex machine learning models with LIME

April 17, 2018
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On April 12th, 2018 I gave a talk about Explaining complex machine learning models with LIME at the Hamburg Data Science Meetup - so if you’re intersted: the slides can be found here: https://www.slideshare.net/ShirinGlander/hh-data-science-meetup-explaining-complex-machine-learning-models-with-lime-94218890 Traditional machine learning workflows focus heavily on model training and optimization; the best model is usually chosen via performance measures like accuracy or error and we...

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Sketchnotes from TWiML&AI #124: Systems and Software for Machine Learning at Scale with Jeff Dean

April 17, 2018
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Sketchnotes from TWiML&AI #124: Systems and Software for Machine Learning at Scale with Jeff Dean

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Systems and Software for Machine Learning at Scale with Jeff Dean: Sketchnotes from TWiMLAI talk #124: Systems and Software for Machine Learning at Scale with Jeff Dean You can listen to the podcast here. n this episode I’m joined by Jeff Dean, Google Senior Fellow and...

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