Artificial Neural Networks and Machine Learning – ICANN 2024

Explore the cutting-edge insights in "Artificial Neural Networks and Machine Learning – ICANN 2024," authored by Michael Wand and published by Springer International Publishing AG. This comprehensive paperback edition, spanning 436 pages, delves into the latest advancements in machine learning and artificial neural networks. The book is structured into several key parts, addressing crucial topics such as fairness in machine learning, various aspects of computer vision including classification, 3D methods, and anomaly detection. Additionally, it covers brain-inspired computing, providing readers with a holistic view of the field. Ideal for researchers, practitioners, and students alike, this 2024 edition is a must-have for anyone looking to deepen their understanding of neural networks and machine learning technologies. Stay ahead in the rapidly evolving tech landscape with this essential resource.