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 2024 edition spans 495 pages, delving into the latest advancements in machine learning and its applications in various fields.

The book is structured into four distinct parts, covering essential topics such as fairness in machine learning, classification techniques in computer vision, and innovative 3D methods. It also explores anomaly detection in computer vision and introduces brain-inspired computing concepts, making it a valuable resource for researchers and practitioners alike.

Whether you're a seasoned expert or a newcomer to the field, this book provides a thorough understanding of the current trends and future directions in artificial neural networks and machine learning. Don't miss the opportunity to enhance your knowledge with this essential addition to your library!