Welche inhaltlichen Schwerpunkte setzt der Lehrgang in Big Data und Machine Learning?

The course in Big Data and Machine Learning provides in-depth knowledge of modern data-driven technologies and analysis methods. The content is taught in German and English and covers the following topics:

• Introduction to data mining and machine learning: basics of data analysis, classification and forecasting models
• Deep learning methods and techniques: In-depth study of neural networks, training processes and areas of application
• Text analytics and text mining: analyzing text data for information retrieval and automation
• Big data processing and storage: techniques and platforms for the efficient handling of large amounts of data
• Visual analytics: data visualization for better interpretation and decision-making
• Robotics, autonomous vehicles and drones: From classic image processing to deep learning-supported systems
• Neural machine translation: basics and applications of automated language translation
• Ethical and legal aspects of big data: data protection, responsibility and social impact
• Cloud technologies and blockchain: modern IT infrastructures for secure and scalable data processing
• Machine learning in market design: using artificial intelligence to analyze and design economic markets

The course in Big Data and Machine Learning offers a broad professional foundation for anyone who works in data-driven areas such as data science, artificial intelligence or software development or would like to qualify in these areas.

Important: The exact content of the course in Big Data and Machine Learning can vary depending on the school. Each educational institution determines the focus individually. We therefore recommend that you enquire about the specific curriculum directly with the respective school. Use our contact form to forward your question directly to the desired school.