Informed Machine Learning by Daniel Schulz

Informed Machine Learning by Daniel Schulz

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is intended for those interested in modern informed machine learning for a wide range of practical applications where the aspect of small data sets is a challenge.

Machine Learning with small amounts of data? After the recent success of Artificial Intelligence based on training with massive amounts of data, this idea may sound exotic. However, it addresses crucial needs of practitioners in industry. While many industrial applications stand to benefit from the use of AI, the amounts of data needed by current learning paradigms are often hard to come by in industrial settings. As an alternative, learning methods and models are called for which integrate other sources of knowledge in order to compensate for the lack of data. This is where the principle of “Informed Machine Learning” comes into play.

Informed Machine Learning combines purely data driven learning and knowledge-based techniques to learn from both data and knowledge. This has several advantages. It reduces the need for data, it often results in smaller, less complex and more robust models, and even makes machine learning applicable in settings where data is scarce. The kind of knowledge to be incorporated into learning processes can take many different forms, for example, differential equations, analytical models, simulation results, logical rules, knowledge graphs, or human feedback which makes the approach overall very powerful and widely applicable.

Daniel Schulz is a German born international architect with over 15 years of experience in architectural design, construction and management. He gains exceptional skills and experience in planning, detailing, designing and coordinating projects both in the public and private sectors. His excellent communication, public relations, problem solving and leadership skills, combined with his knowledge of engineering and architectural codes, let him become a well experienced principal of the practice.

Daniel Schulz has worked and lived many years in China and Europe, due to his work he gains manifold experiences of different cultures and enjoys working with well-staffed international teams. As principal designer he ensures a healthy collaboration, respect, and philosophical connectedness within his respective teams. Knowledge gained from living, studying and working in different countries, has not only exposed him to the challenge of adapting to new environments and cultures, but also increased his awareness of the different demands of people worldwide, in different cultures, at different environments. It has supported further development of his understanding of architecture.