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

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....

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

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....

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

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....

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

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....

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

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....

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

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. ...

Different types of machine learning|||||||||

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....