Artificial Neural Networks and Machine Learning – ICANN 2024

Discover the cutting-edge insights in "Artificial Neural Networks and Machine Learning – ICANN 2024," authored by Michael Wand. This comprehensive 2024 edition, published by Springer International Publishing AG, delves into the latest advancements in machine learning and neural networks, covering essential topics such as fairness in machine learning, classification in computer vision, and innovative 3D methods.

The book is structured into four insightful parts, addressing key areas including anomaly detection and various topics in computer vision, alongside brain-inspired computing techniques. With a total of 428 pages, this paperback edition is a must-have resource for researchers, practitioners, and enthusiasts keen on exploring the dynamic field of artificial intelligence.

Enhance your understanding and stay ahead in the rapidly evolving world of AI with this indispensable guide. Order your copy today!