tensorRT Inference Server

Building a scaleable Deep Learning Serving Environment for Keras models using NVIDIA TensorRT Server and Google Cloud

Sebastian Heinz Blog, Data Science

In a recent project at STATWORX, I’ve developed a large scale deep learning application for image classification using Keras and Tensorflow. After developing the model, we needed to deploy it in a quite complex pipeline of data acquisition and preparation routines in a cloud environment. We decided to deploy the model on a prediction server that exposes the model through …

tree with background

Coding Regression trees in 150 lines of R code

André Bleier Blog, Data Science

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate their usefulness for a specific project. In any case, understanding these …

gradient boosting machine

Coding Gradient boosted machines in 100 lines of R code

André Bleier Blog, Data Science

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate their usefulness for a specific project or problem. In any case, …

titelbild-statworx-dataiku

Eine Einführung in Dataiku DSS

Martin Albers Blog, Data Science

In den meisten unserer Kundenprojekte bei STATWORX nutzen wir R oder Python. Auch in unserem Blog handelt es sich meist um Themen rund um die Nutzung dieser beiden Sprachen. Im Data Science Bereich gibt es allerdings eine große Anzahl anderer Tools, viele davon mit einer grafischen Benutzeroberfläche. Dazu zählen zum Beispiel KNIME, RapidMiner oder das hier vorgestellte Tool von Dataiku …

workshop title

Open Workshop: Deep Learning in R and Keras, November 14th in Frankfurt

Vivian Jeenel Blog, Data Science

STATWORX welcomes you to our open workshop “Deep Learning in R and Keras” ! The workshop is designed for advanced R-users who are fluent in importing, processing and manipulating data. The workshop will be held in german at our office in Frankfurt. You will learn how to construct, estimate and evaluate both basic and more complex neural networks in R …

george michael title

Forecasting Last Christmas Search Volume on Google Trends using Deep Learning

Sebastian Heinz Blog, Data Science

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 …

data visualisation

Open Workshop: Data Visualization in R and ggplot2, November 8th in Frankfurt

Vivian Jeenel Blog, Data Science, Statistik

The first time we at STATWORX are opening our doors for anyone who wants to learn more about data. Our “Data Visualization in R and ggplot2” workshop is designed for R-beginners and provides the perfect mixture between theory and practice. The workshop will be held in german at our office in Frankfurt. Participants achieve first insights into the concepts of …

Human vs Robots

A Performance Benchmark of Different AutoML Frameworks

Fabian Müller Blog, Data Science

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 …