Machine Learning & Data Analytics

In this blog post, you will learn what machine learning is and how algorithms recognize patterns and derive predictions from data. You will also learn about typical areas of application—and which steps are important from the database to the use of a model.

Learn step by step how to build your career as a machine learning engineer, from the basics to real-world projects. You'll gain realistic, practical, and motivating insights—perfect for anyone who wants to get started in AI and machine learning.

This article provides a clear overview of large language models (LLMs), i.e., AI models that have been trained on huge amounts of text to analyze and generate language. You will learn how LLMs work technically—from tokenization to parameters to the training process—and get practical examples of their use in business. In addition, the article highlights opportunities, challenges, and future developments of this technology in a professional context.

AI agents are fundamentally changing how companies tackle complex tasks. These intelligent systems work independently, make informed decisions, and optimize business processes without constant human supervision. In this comprehensive guide, you will learn everything you need to know about AI agents, their diverse applications, and proven strategies for successful implementation.