Artificial Intelligence

Dieser Artikel beschäftigt sich mit der Analyse von Facebook-Stellenanzeigen mittels Python. Das Ziel dieses Projekts ist es, ein Tool zu bauen, welches folgende Funktionen anbietet: 1. Performance Analyse der Stellenanzeigen 2. Stellenanzeigen miteinander durch KI vergleichen 3. Die Jobtitel der Stellenanzeigen durch KLDB-Klassen klassifizieren Motivation Der Artikel enthält die Ergebnisse

Introduction American football is one of the most popular sports in the USA and enjoys worldwide popularity. The final game of the National Football League (NFL), the Super Bowl, is one of the biggest sporting events in the world and attracts millions of spectators every year. Due to the high

Introduction In the digital world, an online presence is essential for companies. But effective marketing can quickly become expensive, especially when experienced professionals are needed. Even experienced marketers need time to design a campaign. As artificial intelligence is increasingly being used for precisely such time and money-intensive tasks, we wanted

This project was a part of a master's degree lecture on Deep Learning in computer science at the Kaiserslautern University of Applied Sciences. It was conducted under the supervision of Professor Dr. Bastian Beggel. Internet community platforms, especially discussion forums on specialized topics with a knowledgeable community, quickly

Students and applicants need a wide range of information to find their way around in university life. What are the requirements for my study? Which person do I need to address for my internship? Which study programme suits me? The first source of information is a university’s website. But

The DBCoach (https://dbcoach.hs-kl.de/) is an interactive eLearning program at Kaiserslautern University of Applied Sciences that is designed to help users learn SQL and Java. As part of the course "Deep Learning", it was evaluated whether and how Large Language Models (LLM) can be connected to

The topic of artificial intelligence (AI) has become increasingly important and relevant in recent years. The majority of the population now consciously uses AI systems in their everyday life, such as the chatbot system ChatGPT or voice assistants like Siri and Alexa. However, we are also increasingly interacting unconsciously with

Our Motivation Why did we choose Q-Learning? This team project was part of the Deep Learning SS23 course under the guidance of Professor Beggel. The main objective was to create an AI agent that could kick butt at the game of Othello. Have you heard of Othello? It is a

Board games and artificial intelligence have long been closely linked. Even in the early days of AI research in the 1950s, games like chess and checkers were used as testbeds for algorithmic decision-making. Because of their controlled environment with clear rules, they are ideal for developing AI. But advances in

Contents 1. Introduction 2. Environment and Setup 3. Realization 4. Conclusion 5. References Introduction In the summer term 2023 we learned the basics of artificial neural networks in the course Deep Learning with Prof. Dr. Bastian Beggel. Depending on the field of application, different learning methods are used. There are

Dieser Blogbeitrag beschäftigt sich mit Data-Mining und beinhaltet die Erfassung, sowie Einordnung großer Datenmengen. Die Daten werden in ein Muster gebracht und in Beziehungen zueinander gestellt. Folgende Data-Mining-Techniken sind im Projekt umgesetzt worden: * Datensatz erstellen (Datenabzug) * Einstufung der Daten * Gruppierte Datensätze erstellen * Clustering * Zeitreihenanalysen * Prognosemethoden * Interpretation der ausgewerteten Daten >

As a part of the “Data Science” master course at the University of Applied Sciences Kaiserslautern in the winter semester of 2022/23, we investigated clustering, which is a type of unsupervised machine learning. In this article, we provide an overview of what clustering is and where to apply clustering,

In diesem Artikel wird behandelt, wie wir anhand der vorliegenden Kundendaten * ein neuen Lagerstandort optimal bestimmt haben * und wie das Lager organisiert sein muss, um bei zukünftig gleichbleibenden Aufträgen schnell und effizient kommissionieren werden kann. Über das Projekt Motivation Der Artikel beinhaltet Ergebnisse aus unserer Projektarbeit im Fach Datascience aus

Die diversen Handelsgeschäfte, ob online oder lokal, besitzen meist eine Vielzahl von Daten, in denen sie das Kaufverhalten ihrer Kunden speichern. Insbesondere die Information über den Warenkorb eines Kunden ist besonders wertvoll. Durch die Daten können Kunden verglichen werden anhand der gekauften Artikeln. Das ist bereits Standard geworden und erlaubt

Ob Dijkstra, A-Star oder Johnson-Algorithmus, pgRouting [https://pgrouting.org/] reichert gewöhnliche Postgres-Datenbanken mit zahlreichen Funktionalitäten rund um's Routing und Netzwerkanalysen an. Und das Beste: pgRouting ist Open Source. Das nehmen wir zum Anlass, um einen kleinen Leitfaden für pgRouting-Einsteiger zu schreiben. Hierbei erklären wir im Wesentlichen ... * ... wie man

Snake der Spieleklassiker der Millennials, auf jedem alten Nokia Handy vorhanden, begeisterte die kleine Apfel fressende Schlange Jung und Alt. Ziel des Spiel ist es die Schlange durch geschickten Input die zufällig erscheinenden Äpfel fressen zu lassen. Berührt die Schlange die Wand oder ihren eigenen Schwanz ist das Spiel vorbei.

As part of the master's course DeepLearning in the summer semester of 2022, various reinforcement learning algorithms were implemented using the Python programming language. The goal of the project was to solve a child's cube, or later a maze. The code for the project is available

Unity Reinforcement Autonomous Car Environment [https://github.com/INF-HS-KL-BEGGEL/DL_SS22_T3_DRIVE] Introduction to U-Race In order to work independently of Amazon's AWS DeepRacer and the associated 10-hour training limit, the U-Race framework was developed as part of the 'Deep Learning' course at Kaiserslautern University

Introduction to DeepRacer This project was part of the course 'Deep Learning' at University of Applied Sciences Kaiserslautern. The topic of the summer term 2022 was 'Reinforcement Learning' and this is our approach to combine the topic with vehicles. After a research which projects are already

Today, artificial intelligence can be found almost everywhere, be it in image recognition, in parts of the car or in graphics cards. There are many different ways to implement artificial intelligence, and depending on the application, they work better or worse. To make it easier to imagine the principle of

The purpose of this project is to offer a web service where the features of the Google Cloud Platform can be explored. In particular the web service will use the Cloud Translation and Speech-to-Text API. The web service is called "Stille Post", which can be translated into "