Could you #BeatTheAI? We let deep learning have a go at Super Mario’s first level and compared it to human players. Here we explain how we did it!
R oder Python
Data Science Einsteiger stehen immer wieder vor der gleichen Frage: Welche Programmiersprache sollte man als Erstes lernen? Die Wahl fällt meistens auf eine der beiden großen Anbieter, R oder Python. Mit diesem Blogartikel wollen wir bei der Suche nach der geeigneten Programmiersprache helfen.
Open Workshop: Programming with Python, May 6th and 7th in Frankfurt
We at STATWORX are opening our doors for anyone who wants to learn more about data. Our open workshop is designed for Python-beginners and provides the perfect mixture between theory and practice. Participants achieve first insights into data science and programming with Python. The workshop will be held in German at our office in Frankfurt. There is a limit of …
How to Speed Up Gradient Boosting by a Factor of Two
Our latest tool development at STATWORX: random boost, an algorithm twice as fast as gradient boosting, with comparable prediction performance.
R and Python: Using reticulate to get the best of both worlds
We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here we show an example of how to train a Support Vector Machine.
Fixing the most common problem with Plotly histograms
In today’s blog post, we show you how to improve the interactivity of Plotly histograms with automatically new rebinning.
Plotly – An interactive Charting library
In this blog we will explore the plotly library for python and R. We show how plotly is structured and use the LA Metro Bike dataset as an example to create interactive plots.
Ensemble Methods in Machine Learning: Bagging & Subagging
In this blog we will explore the Bagging algorithm and a computational more efficient variant thereof, Subagging. With minor modifications these algorithms are also known as Random Forest and are widely applied here at STATWORX, in industry and academia.
Forecasting Last Christmas Search Volume on Google Trends using Deep Learning
Last Christmas is one of the most popular Christmas tunes that were, are and will be out there. The song is written by the brilliant musician George Michael and was released in 1984, when at that time, Epic Records quickly wanted to release a Christmas tune. According to Wikipedia, there are rumours going around that George Michael just changed the …
A Performance Benchmark of Different AutoML Frameworks
In a recent blog post our CEO Sebastian Heinz wrote about Google’s newest stroke of genius – AutoML Vision. A cloud service „that is able to build deep learning models for image recognition completely fully automated and from scratch„. AutoML Vision is part of the current trend towards the automation of machine learning tasks. This trend started with automation of …