Machinglearning – Bücher, LPs, CDs und mehr, Seite 9

Kai Li, Xin Yuan, Wei Ni
Security and Resilience in Distributed Machine Learning

Springer Series in Reliability Engineering

This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenge…

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Advances in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1264

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning-ICAAAIML 2023. The book covers rese…

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Machine Learning Systems

This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and relat…

lieferbar ab 29.6.2026.

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Quantum Machine Learning

Revolutionize your IoT infrastructure with this guide to mastering quantum-enhanced machine learning algorithms and theoretical frameworks that are shattering the boundaries of classical computing to deli…

Erscheint bald

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Jay Kumar Pandey,
Machine Learning Based Air Traffic Surveillance System Using Image Processing

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management…

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Machine Unlearning for Governance of Foundation Models

Synthesis Lectures on Computer Vision

This book provides a systematic and in-depth introduction to machine unlearning (MU) for foundation models, framed through an optimization--model--data tri-design perspective and complemented by assessmen…

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Abdelrahim Aqqad
Fraud Analytics in Action

Palgrave Studies in Accounting and Finance Practice

This book is a comprehensive guide designed for professionals in high-risk sectors, bridging the gap between traditional auditing methods and the modern digital landscape. This book offers innovative solu…

lieferbar ab 20.7.2026.

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Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (Mlccim2025)

This book contains the selected proceedings of the 2025 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, held in Mohe, China, July 21-25, 2025. The conference explores…

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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization too…

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Laurence Moroney
AI and ML for Coders in PyTorch

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for progra…

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Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and PyTorch

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set an…

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Predrag S. Stanimirovi¿, Yimin Wei, Shuai Li, Dimitrios Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

Background Information.- 2 Gradient Neural Network (GNN) and their Modifications.- 3 Zeroing Neural Network (ZNN).- 4 From iterations to ZNNs and vice versa, 5 Modified ZNN dynamical systems.

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Anindita Nath, Bappaditya Koley, Tanupriya Choudhury
Shoreline Modification Over the Indian Sundarban

This SpringerBrief uses geospatial techniques to assess shoreline change dynamics in the Indian Sundarban, a unique region located in the delta of three major rivers - the Ganges, Brahmaputra and Meghna -…

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Machine Learning for Cyber Security

Lecture Notes in Computer Science - Band 16456

This book constitutes the proceedings of the 7th International Conference on Machine Learning for Cyber Security, ML4CS 2025, which taking place during December 12-14, 2025 held in Hangzhou, China.The 18 …

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Eric Siegel
The AI Playbook, with a New Preface by the Author

In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it."Eric Siegel delivers a robust primer on machine learning, t…

lieferbar ab 27.10.2026.

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From Machine Learning to Artificial Intelligence

Studies in Systems, Decision and Control - Band 572

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The…

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2 Bücher

Christian Morten Schierholz
Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Berichte aus der Elektrotechnik

Increasing challenges in the design process of power delivery networks on printed circuit boards require new and adapted tools. Therefore, in this thesis artificial neural networks are investigated to enh…

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M. Umit Uyar
Machine Learning and AI with Simple Python and Matlab Scripts

IEEE Press

A practical guide to AI applications for Simple Python and Matlab scriptsMachine Learning and AI with Simple Python and Matlab Scripts: Courseware for Non-computing Majors introduces basic concepts and pr…

lieferbar in mind. 4 Wochen

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