Probing the Past with Data Analytics and AI

This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning. The useful reference text benefits professionals, academics, researchers, and graduate students in AI/machine learning, neural networks, and bioinformatics, and digital humanities.

Marc Thuillard is a physicist (EPFL, Lausanne). He received a master's in Mathematics from Denver University and a PhD in Physics in Bern. After a postdoc at Caltech, he joined the industry as a researcher. After heading over 20 years the global research at a large Swiss company specializing in actuators, sensors, and energy optimization, he became Head of IP. Marc has written several books and book chapters on signal processing. Marc Thuillard has written his first book on Artificial Intelligence in 2001 Wavelets in Soft Computing which led to many 'real-world' applications and products. In the last ten years, Marc Thuillard has developed data analytics methods that were applied to cultural astronomy, and comparative mythology, methods that are also applicable in other fields such as the study of ancient DNA, computational linguistics, paleontology, cultural studies or archaeology. Marc Thuillard is now working as an independent consultant and author.