Blogs on Supervised Learning » Lamarr Institute

00 Blog Weikhman Otten Object Detection 1 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Object Detection: How machines recognize objects

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....

00 Blog schulz SVMs - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

What are Support Vector Machines and how do they work?

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....

00 Blog Mueller Klassifikation im ML - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

Classification in Machine Learning

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....

00 Blog Regression 2 Welke - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Robust Linear Regression for Machine Learning

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....

00 Blog Regression Welke - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

What is a linear regression?

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....

00 Blog weickhmann - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Application

Priority for safe Machine Learning: On the robustness of neural networks

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. ...

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Basics

What are the types of Machine Learning?

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....