Blog Archives

Launching codecentric.AI Bootcamp course!

February 7, 2019
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Launching codecentric.AI Bootcamp course!

Today, I am happy to announce the launch of our codecentric.AI Bootcamp! This bootcamp is a free online course for everyone who wants to learn hands-on machine learning and AI techniques, from basic algorithms to deep learning, computer vision and NLP....

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Book review: Beyond Spreadsheets with R

January 30, 2019
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Book review: Beyond Spreadsheets with R

Disclaimer: Manning publications gave me the ebook version of Beyond Spreadsheets with R - A beginner’s guide to R and RStudio by Dr. Jonathan Carroll free of charge. Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You’ll build on simple programming techniques like loops and conditionals to...

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How to prepare data for NLP (text classification) with Keras and TensorFlow

January 22, 2019
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How to prepare data for NLP (text classification) with Keras and TensorFlow

In the past, I have written and taught quite a bit about image classification with Keras (e.g. here). Text classification isn’t too different in terms of using the Keras principles to train a sequential or function model. You can even use Convolutional Neural Nets (CNNs) for text classification. What is very different, however, is how to prepare raw text data for...

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My course on Hyperparameter Tuning in R is now on Data Camp!

January 16, 2019
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My course on Hyperparameter Tuning in R is now on Data Camp!

I am very happy to announce that (after many months) my interactive course on Hyperparameter Tuning in R has now been officially launched on Data Camp! Course Description For many machine learning problems, simply running a model out-of-the-box ...

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Lecture slides: Real-World Data Science (Fraud Detection, Customer Churn & Predictive Maintenance)

January 15, 2019
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These are slides from a lecture I gave at the School of Applied Sciences in Münster. In this lecture, I talked about Real-World Data Science and showed examples on Fraud Detection, Customer Churn & Predictive Maintenance. Real-World Data Scie...

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How do Convolutional Neural Nets (CNNs) learn? + Keras example

January 8, 2019
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How do Convolutional Neural Nets (CNNs) learn? + Keras example

As with the other videos from our codecentric.ai Bootcamp (Random Forests, Neural Nets & Gradient Boosting), I am again sharing an English version of the script (plus R code) for this most recent addition on How Convolutional Neural Nets work. In this lesson, I am going to explain how computers learn to see; meaning, how do they learn to recognize...

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Don’t reinvent the wheel: making use of shiny extension packages. Join MünsteR for our next meetup!

January 7, 2019
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Don’t reinvent the wheel: making use of shiny extension packages. Join MünsteR for our next meetup!

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 we...

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February 21st & 22nd: End-2-End from a Keras/TensorFlow model to production

January 6, 2019
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February 21st & 22nd: End-2-End from a Keras/TensorFlow model to production

Registration is now open for my 1.5-day workshop on how to develop end-2-end from a Keras/TensorFlow model to production. It will take place on February 21st & 22nd in Berlin, Germany. Please register by sending an email to [email protected]

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Code for case study – Customer Churn with Keras/TensorFlow and H2O

December 11, 2018
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Code for case study – Customer Churn with Keras/TensorFlow and H2O

This is code that accompanies a book chapter on customer churn that I have written for the German dpunkt Verlag. The book is in German and will probably appear in February: https://www.dpunkt.de/buecher/13208/9783864906107-data-science.html. The code you find below can be used to recreate all figures and analyses from this book chapter. Because the content is exclusively for the book, my descriptions...

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Trust in ML models. Slides from TWiML & AI EMEA Meetup + iX Articles

December 4, 2018
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Trust in ML models. Slides from TWiML & AI EMEA Meetup + iX Articles

Here you find my slides from last nights TWiML & AI EMEA Meetup about Trust in ML models, where I presented the Anchors paper by Carlos Guestrin et al.. I have also just written two articles for the German IT magazin iX about the same topic of...

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