Deep Learning Models In Finance – alle Bücher und LPs online kaufen

Gueorgui S Konstantinov, Frank J Fabozzi
Network Models in Finance

NETWORK MODELS in FINANCE An insightful exploration of the theory and application of networks as applied to investment management Network Models in Finance: Expanding the Tools for Portfolio and Risk Mana…

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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 presents …

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Andrew Green
Deep Learning in Quantitative Finance

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

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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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Ayush Somani, Dilip K. Prasad, Alexander Horsch
Interpretability in Deep Learning

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In additi…

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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…

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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…

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Deep Learning Applications in Medical Image Segmentation

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

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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…

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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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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…

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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…

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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…

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Mouse On Mars

AAI (Limited Edition) (Grey Vinyl)

Product Information Mouse on Mars, the Berlin-based duo of Jan St. Werner and Andi Toma, approach electronic music with an inexhaustible curiosity and unparalleled ingenuity. Operating in their unique o…

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Mouse On Mars

AAI

Product Information Mouse on Mars, the Berlin-based duo of Jan St. Werner and Andi Toma, approach electronic music with an inexhaustible curiosity and unparalleled ingenuity. Operating in their unique o…

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Hojjatollah Farahani, Marija Blagojevi¿, Sara Saljoughi, Peter Watson
An Introduction to Artificial Psychology

Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional…

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The Future of Artificial Intelligence and Robotics

This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held in National Institute of Technology, Kurukshetra, on December 07…

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