In recent years, deep learning techniques have revolutionized machine learning. The beginning of this revolution, in 2012, was marked by the article ImageNet Classification with Deep Convolutional Networks by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton. The article demonstrates how…
The efficient solution of optimization problems is a central task in machine learning and in the larger field of data science. Therefore, we are developing GENO (generic optimization), a domain-specific language (DSL) for generating solution software for various optimization problems…
GENO makes mathematical optimization easily accessible: The desired optimization problem is specified in a natural modeling language and the associated solver is generated simply by pressing a button. In machine learning, it was previously common to write a new solver…
Data Assessment has long used topic models to generate role profiles. In this context, a role profile is a topic that is learned from skills data. Now we have significantly expanded the type of data from which a topic model…
Topic models are a machine learning technique that we used at Data Assessment Solutions at a very early stage. Since these models are still relevant, today we want to briefly present how they work and how we use them. The…
Last year more than 1.4 million derivations were computed by almost 50,000 users. In most cases we don't know the purpose of the derivatives, but sometimes users contact us with suggestions for additional features or just to say thanks. Such…
Optimization, i.e. the maximization or minimization of an objective function under constraints, is at the center of many applications. So it is not surprising that optimization plays an important role in our Software decídalo. The Text-to-Skills feature would be just…
This year the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Würzburg, Germany from September 16 to 20. Sören Laue from DAS Research will present the application matrixcalculus.org. Matrixcalclulus.org allows…
On June 24 the first workshop on probabilistic programming in Hannover took place. Nearly 20 participants from IT companies and the Leibniz University in Hannover came together in the rooms of Data Assessment Solutions (DAS) to discuss this burgeoning topic…
An optimization problem is given by its variables, its objective function and constraints. The goal is to assign values to the variables so that the value of the objective function is optimized, and all constraints are satisfied. At Data Assessment…