The "Machine Learning in Medicine - Cookbook" is a specialized book aimed at medical and health science professionals who deal with the analysis of large data sets. Given that data in medical databases doubles every 20 months, it is essential for professionals to master modern analytical methods. This compact cookbook provides a practical introduction to the application of machine learning in medicine and is a valuable resource for researchers, students, and practitioners who have little time to read extensive textbooks. It summarizes the essential topics from the three-volume work "Machine Learning in Medicine I-III" and focuses on technical details and step-by-step analyses based on the authors' experiences. The authors, a statistician and a clinician, offer valuable insights and practical guidance on the application of machine learning in medical research.