"Cloud-Based Multi-Modal Information Analytics" is a groundbreaking book that explores the intersection of cloud computing and multi-modal data analysis. Authored by leading experts, it delves into ……続きを見る
"Linear and Nonlinear Programming Essentials" is a comprehensive textbook crafted for undergraduate students, providing an in-depth exploration of optimization theory and practice. Designed to be bo……続きを見る
This book is a comprehensive, step-by-step learning guide towards understanding an entire value chain of Business Analytics, its interrelated components and its role in business decision-making in I……続きを見る
The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the pri……続きを見る
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and r……続きを見る
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the la……続きを見る
This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher o……続きを見る
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solut……続きを見る
Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces sta……続きを見る
