Machine learning books

Deep learning made simple. Deep learning made simple. Dip into deep learning without drowning in theory with this...  Read More >>

A complete guide to deep neural networks - the technology behind AI - covering fundamental and advanced techniques...  Read More >>

What is data and how does it fit into data science? What does data analytics refer to in the context of data analysis...  Read More >>

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language...  Read More >>

Artificial Intelligence (AI) is already an integral element of architecture. The pace of AI’s deployment in our...  Read More >>

Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health is the first comprehensive book...  Read More >>

This book contains select papers presented during the 6th National Conference on Multidisciplinary Analysis and...  Read More >>

Quantum Computational AI: Algorithms, Systems, and Applications represents an emerging, fast evolving field. The...  Read More >>

Die qualitative und quantitative empirische Untersuchung des entwickelten Materials in Design-Experimenten liefert...  Read More >>

Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the essentials...  Read More >>

This book starts with discussions over how large language models are used in healthcare and the opportunities we...  Read More >>

Die Untersuchungen liefern wichtige Erkenntnisse für die Unternehmensanalyse auf Basis von Daten der Finanzberichterstattung...  Read More >>

This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding...  Read More >>

mso-fareast-font-family: 'Times New Roman';"">Harness the power of conceptualization to create models that solve...  Read More >>

The book concludes with a caution against relying solely on empirical evidence and ""black box"" algorithms, advocating...  Read More >>

Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning,...  Read More >>

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the...  Read More >>

The book purpose is to build a foundational knowledge base by applying antifragile system design, analysis, and...  Read More >>

Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research...  Read More >>

mso-fareast-language: EN-US;"">Expansion of the ""Intrinsic Explainable Models"" chapter to delve deeper into generalized...  Read More >>

It focused on the special theme: Advancing Information Science and Information Systems Quality in the Era of Complexity.The...  Read More >>

It focused on the special theme: Advancing Information Science and Information Systems Quality in the Era of Complexity.The...  Read More >>

Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models...  Read More >>

Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models...  Read More >>

By presenting meticulously reviewed papers from the Third International Conference on Mathematical and Computational...  Read More >>