Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: ¿The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing.¿
Paul J. Werbos, Inventor of the back-propagation method, USA: ¿I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain.¿
Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: ¿This new book will set up a milestone for the modern intelligent systems.¿
Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: ¿Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations.¿