Learning in the Absence of Training Data

Discover innovative approaches to bespoke learning in "Learning in the Absence of Training Data" by Dalia Chakrabarty. Published in 2023 by Springer International Publishing AG, this insightful hardback spans 227 pages, offering readers a comprehensive exploration of learning methodologies. Chakrabarty presents three distinct ways to engage in bespoke learning, emphasizing the importance of system dynamics within generic dynamical systems. By understanding the functions that drive system evolution, readers can unlock new possibilities in data analysis and machine learning. This book is an essential resource for researchers, practitioners, and anyone interested in advancing their knowledge in the field of learning without traditional training data. Enhance your understanding of complex systems and revolutionize your approach to learning with this groundbreaking work.