Machine Learning and Data Mining using Python

Theofrastos Mantadelis

Theofrastos Mantadelis gained his Ph.D from the Katholieke Universiteit of Leuven. His research interests are in the field of Artificial Intelligence and more specifically in Logic programming, optimizations, statistical relational learning, compilation of graphical models, complexity theory, satisfaction problems, recommendation systems and abstract argumentation frameworks. He has also worked with MANETs, VANETs and with projects related with signal processing.

His work has been published in international journals including the, Journal of Theory and Practice of Logic Programming, Journal of Ambient Intelligence and Humanized Computing and Journal of Biomedical and Health Informatics. Additionally, his work has been presented during international conferences such as the European Conference on Artificial Intelligence, International Conference on Logic Programming, International Conference on Logic for Programming, Artificial Intelligence and Reasoning.