Articles by Dr. Shirin Glander

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

May 21, 2018 | Dr. Shirin Glander

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 ...

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

May 13, 2018 | Dr. Shirin Glander

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. ...

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

May 13, 2018 | Dr. Shirin Glander

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. ...

Comparing dependencies of popular machine learning packages with `pkgnet`

April 29, 2018 | Dr. Shirin Glander

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 ...

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

April 26, 2018 | Dr. Shirin Glander

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 ...

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

April 21, 2018 | Dr. Shirin Glander

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’...

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

April 21, 2018 | Dr. Shirin Glander

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: ...

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

April 18, 2018 | Dr. Shirin Glander

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 ...

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

April 17, 2018 | Dr. Shirin Glander

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. ...

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

April 17, 2018 | Dr. Shirin Glander

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; ... [Read more...]

Meetup slides: Introducing Deep Learning with Keras

April 10, 2018 | Dr. Shirin Glander

On April 4th, 2018 I gave a talk about Deep Learning with Keras at the Ruhr.Py Meetup in Essen, Germany. The talk was not specific to Python, though - so if you’re intersted: the slides can be found here: https://www.slideshare.net/ShirinGlander/ruhrpy-introducing-deep-learning-with-keras-and-python Ruhr.PY - Introducing ... [Read more...]

My upcoming meetup talks about Deep Learning with Keras and explaining complex Machine Learning Models with LIME

March 27, 2018 | Dr. Shirin Glander

I’ll be talking about Deep Learning with Keras in R and Python at the following upcoming meetup: Ruhr.Py 2018 on Wednesday, April 4th Introducing Deep Learning with Keras and Python Keras is a high-level API written in Python for building and prot...

Join MünsteR for our next meetup on deep learning with Keras and R

March 27, 2018 | Dr. Shirin Glander

In our next MünsteR R-user group meetup on Tuesday, April 17th, 2018 Kai Lichtenberg will talk about deep learning with Keras. You can RSVP here: http://meetu.ps/e/DDY1B/w54bW/f Although neural networks have been around for quite a while now, dee...

Sketchnotes from TWiML&AI #115: Scaling Machine Learning at Uber with Mike Del Balso

March 6, 2018 | Dr. Shirin Glander

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Scaling Machine Learning at Uber with Mike Del Balso: Sketchnotes from TWiMLAI talk #115: Scaling Machine Learning at Uber with Mike Del Balso You ca...

Another Game of Thrones network analysis – this time with tidygraph and ggraph

March 3, 2018 | Dr. Shirin Glander

A while back, I did an analysis of the family network of major characters from the A Song of Ice and Fire books and the Game of Thrones TV show. In that analysis I found out that House Stark (specifically Ned and Sansa) and House Lannister (especially Tyrion) are the ...

Sketchnotes from TWiML&AI #111: Learning “Common Sense” and Physical Concepts with Roland Memisevic

February 18, 2018 | Dr. Shirin Glander

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Learning “Common Sense” and Physical Concepts with Roland Memisevic: Sketchnotes from TWiMLAI talk #111: Learning “Common Sense” and Physical ...

April 12th & 13th: workshop on Deep Learning with Keras and TensorFlow in R

February 4, 2018 | Dr. Shirin Glander

Registration is now open for my 1.5-day workshop on deep learning with Keras and TensorFlow using R. It will take place on April 12th and 13th in Hamburg, Germany. In my workshop, you will learn the basics of deep learning what cross-entropy and loss ...

Conferences, webinars, podcasts and the likes

February 1, 2018 | Dr. Shirin Glander

Here, you can find a list of all the talks I gave at conferences, webinars, podcasts, workshops, and all the other places you can and could hear me talk. :-) Workshops I am giving Workshop on Deep Learning with Keras and TensorFlow in R I offer a workshop on deep ... [Read more...]

Announcing my talk about explainability of machine learning models at Minds Mastering Machines conference

January 31, 2018 | Dr. Shirin Glander

On Wednesday, April 25th 2018 I am going to talk about explainability of machine learning models at the Minds Mastering Machines conference in Cologne. The conference will be in German, though. ERKLÄRBARKEIT VON MACHINE LEARNING: WIE KÖNNEN WIR ...

I talk about machine learning with Daniel Mies (Podcast in German, though)

January 31, 2018 | Dr. Shirin Glander

For those of you out there who speak German: I was interviewed for a tech podcast where I talked about machine learning, neural nets, why I love R and Rstudio and how I became a Data Scientist. You can download and listen to the podcast here: https://m...

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