How do you teach computers to learn from data?

This hands-on introduction uses numerous realistic examples from the field of health care to convey the basics and the various methods of machine learning with R, H2O and Keras 3. You will also learn how to prepare and visualize the data.

Both statistical methods (such as regression, classification, factor and cluster methods) and neural networks are covered. In transfer learning with convolutional networks, heatmaps are used to show how results in image classification can be explained.

Procedures and techniques in health care are subject to many regulations. This book explains what you need to do in order to achieve compliance.

Key Features:

• Addresses the basic concepts and methods in machine learning so that you can get an idea of “what’s under the hood”
• Shows how to create packages and configure version control in R
• Shows how to create “tidy data” and visualize it with ggplot
• Shows ready-to-run, downloadable examples in health care with R, H2O and the actual version 3 of Keras
• Explains the steps needed to achieve compliance in an approval process.

Uli Schell was a software developer and methodology consultant at BBC and SAP AG before becoming Professor at Kaiserslautern University of Applied Sciences. He is the Academic Director of the Technical Academy Southwest Kaiserslautern. He was awarded as one of the Top 10 Renowned Overseas Professors of the Shanghai Area (2023–2024) for his outstanding teaching achievements and innovative teaching philosophy.

Claudia Scherl is Professor and Chair of Otorhinolaryngology, Head & Neck Surgery at the University Hospital OWL, Campus Bielefeld. Previously, she worked at the University Hospitals in Mannheim and Erlangen. Her research focuses on developing digital transformation in healthcare, with a particular emphasis on artificial intelligence and data-driven applications.