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 and published by Springer International Publishing AG. This comprehensive paperback, spanning 450 pages, delves into the latest advancements in machine learning and artificial intelligence, making it an essential read for professionals and enthusiasts alike.

The book is structured into four insightful parts, covering critical topics such as fairness in machine learning, computer vision classification, 3D methods, anomaly detection, and brain-inspired computing. Whether you're looking to deepen your understanding or explore new methodologies, this 2024 edition provides a wealth of knowledge to enhance your expertise in the rapidly evolving field of machine learning.

Don't miss out on this essential resource that bridges theory and application, perfect for researchers, students, and practitioners in artificial intelligence.