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Gueorgui S Konstantinov, Frank J Fabozzi
Network Models in Finance

NETWORK MODELS in FINANCEAn insightful exploration of the theory and application of networks as applied to investment managementNetwork Models in Finance: Expanding the Tools for Portfolio and Risk Manage…

lieferbar innerhalb 1-2 Wochen

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

lieferbar innerhalb 2-3 Wochen

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Andrew Green
Deep Learning in Quantitative Finance

The complete and practical guide to one of the hottest topics in quantitative financeDeep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts…

lieferbar ab 3.12.2025.

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Roland Schwaiger, Joachim Steinwendner
Neuronale Netze programmieren mit Python

Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die gen…

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Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
Deep Learning in Banking

Unlock the potential of artificial intelligence to transform financial services for a new eraDeep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián…

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Advances in Deep Generative Models for Medical Artificial Intelligence

Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial network…

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Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinform…

lieferbar in mind. 4 Wochen

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Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene r…

lieferbar in mind. 4 Wochen

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Deep Learning Applications in Medical Image Segmentation

Apply revolutionary deep learning technology to the fast-growing field of medical image segmentationPrecise medical image segmentation is rapidly becoming one of the most important tools in medical resear…

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Deep Learning in Ad-Hoc Wireless Networks

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By c…

lieferbar innerhalb 2-3 Wochen

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume f…

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Naviya
Bridging the Gap: Addressing Heterogeneity in Local Models for Enhanced Multiparty Learning

in the system. Note that all these works rely on a trusted central server to coor-dinate the distributed learning process, which obviously becomes a single point of failure and can be subject to attacks. …

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Yen-Wei Chen, Lanfen Lin, Rahul Kumar Jain
Recent Advances in Deep Learning for Medical Image Analysis

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In r…

lieferbar ab 24.7.2025.

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Soyeon Caren Han, Henry Weld, Josiah Poon, Jean Lee
Natural Language Understanding in Conversational AI with Deep Learning

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancem…

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Applications of Deep Machine Learning in Future Energy Systems

Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence techniques to present deep machine learning suitable for the complexity of sustainable e…

lieferbar in mind. 4 Wochen

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Abdussalam Elhanashi, Sergio Saponara
Deep Learning in Action: Image and Video Processing for Practical Use

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and objec…

lieferbar ab 16.6.2025.

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Xiao-Lei Zhang
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by loo…

lieferbar in mind. 4 Wochen

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