BlogBasics Object Detection: How machines recognize objects Luise Weickhmann, Maximilian Otten, 31. May 2023 With the help of object detection methods, machines can be trained to recognize and locate objects. In this blog post, we provide an overview of this area of computer vision....
BlogBasics What are Support Vector Machines and how do they work? Till Schulz, 07. March 2023 The Support Vector Machine is a frequently used method for supervised learning, which is used in particular in the classification of image and text data. This blog post explains how it works....
BlogBasics Classification in Machine Learning Sebastian Müller, 18. May 2022 Classification is one of the fundamental thinking tools in ML. It can be used to apply existing solutions to new problems. Classifiers learn to recognize patterns from data and thus assign data to different classes....
BlogResearch Robust Linear Regression for Machine Learning Pascal Welke, 08. September 2021 The method of least absolute deviation can be used to determine a regression line and train a linear regression model so that it is robust against irregularities - so-called “outliers” - in the data....
BlogBasics What is a linear regression? Pascal Welke, 25. August 2021 Linear regression, a fundamental technique in Machine Learning, quickly delivers good results in use cases. Using Python code snippets, we demonstrate how to train linear regression models using the least squares method....
BlogApplication Priority for safe Machine Learning: On the robustness of neural networks Luise Weickhmann, 14. July 2021 Hostile attacks on Machine Learning prediction models, for example in autonomous driving, could lead to great (personal) damage. Defense mechanisms can be used to protect ML models and increase their robustness against attacks. ...
BlogBasics What are the types of Machine Learning? Dr. Daniel Trabold, 13. January 2021 In Machine Learning, different paradigms dictate how algorithms are trained, differing in the selection of training data and in the type and frequency of feedback during the training phase....
