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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
This book explains how the Z Garbage Collector was designed, why it was designed this way, the common pitfalls to avoid when using ZGC in JDK 25 and how to get useful... Læs mere
This book is a comprehensive, hands-on guide for developers, technical leads, and performance... Læs mere
This book takes readers on an exploratory journey into the transformative potential of Deep Generative Models (DGMs), hybrid architectures, and Foundation Models (FMs) to redefine the future urban landscape.
ICADAC 2025 has received a remarkable number of high-quality submissions from across the globe, reflecting the growing interest and ongoing innovation in this dynamic domain.
This book explores how Pega Cloud 3 leverages agentic AI, Google Cloud Platform and Amazon Web Services to... Læs mere
The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. This book eases you... Læs mere
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book constitutes the refereed proceedings of the 7th International Conference on Cybersecurity, Privacy and Trust, held as Part of the 27th International Conference, HCI International 2025, in Gothenburg, Sweden, during June 22–27, 2025.