Maschinelles Lernen - Grundlagen und Anwendungen

This textbook primarily explains the fundamentals of machine learning (ML). The main topics include the mathematical foundations, optimization methods, and ML algorithms. The chapters contain example exercises with Python code.

The earlier chapters present the mathematical foundations. The main part focuses on the central concepts of machine learning. The book is complemented by chapters on specific applications in various disciplines.

The target audience is mainly students who wish to delve into this subject area. Engineers can also benefit from this textbook, as there is a strong emphasis on the application of ML. In particular, its use in interdisciplinary fields such as control engineering, image processing, and chemistry is highlighted.