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Jason Edwards
Adversarial Machine Learning

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromisedAdversarial Machine Learning is a definitive guide to one of the most urgent chal…

lieferbar innerhalb 1-2 Wochen

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Scientific Machine Learning

This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. The event gathered leading researchers in mathematics, algorithms,…

lieferbar innerhalb 2-3 Wochen

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Informed Machine Learning

Cognitive Technologies

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use case…

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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…

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Taehun Kim
Financial AI in Practice

Get the eBook free when you register your print book at Manning."Informative, engaging, and well-grounded in the realities and complexities of the financial domain."---Tamer Khraisha, Author of …

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Iacovos Ioannou, Prabagarane Nagaradjane, Vasos Vassiliou
Distributed Artificial Intelligence for 5G/6G Communications

The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development…

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Amit Bahree, Weehyong Tok
LLM Customization and Fine-Tuning

Get the eBook free when you register your print book at Manning.LLM Customization and Fine-Tuning is a hands-on playbook for turning a general-purpose open-weights model into a focused, cost-efficient sys…

lieferbar ab 29.12.2026.

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

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Yue Zhang, Zhiyang Teng
Natural Language Processing

This gentle introduction to the most important techniques in natural language processing uses a unified mathematical and algorithmic framework and gradually increases in complexity. Topics covered range f…

lieferbar ab 31.12.2026.

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Tiny Machine Learning

Stay at the forefront of the embedded AI revolution by mastering the specialized hardware and software strategies needed to bring high-performance machine learning to the world's most resource-constrained…

lieferbar in mind. 4 Wochen

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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…

lieferbar in mind. 4 Wochen

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Robotics and Smart Autonomous Systems

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, appli…

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Digital Defence

This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to …

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Debnath Bhattacharyya, Yu-Chen Hu
Data-Driven Decision Support System in Intelligent HealthCare

Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but a…

lieferbar ab 24.11.2026.

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Snehashish Chakraverty, Sandeep Kumar Samota, Reema Gupta
Computational Differential Equations with AI

This book provides cutting-edge machine learning (ML) methods, including Physics-Informed Neural Networks (PINNs), Neural Operators, and other ML methods, for solving ordinary differential equations (ODEs…

lieferbar ab 26.1.2027.

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Dino Esposito, Francesco Esposito
Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Din…

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Metaheuristics for Enterprise Data Intelligence

With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-t…

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Data-Driven Systems and Intelligent Applications

This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techn…

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Christian R Shelton
Introduction to Machine Learning

Aimed at undergraduate students, this text guides readers through the methods and principles of machine learning in an approachable manner without sacrificing mathematical precision or notation. Step-by-s…

lieferbar ab 30.11.2026.

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AI in Modern Ophthalmology

Analytics and AI for Healthcare

The book provides an authoritative and accessible guide on integrating intelligent technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), into modern eye c…

lieferbar ab 24.12.2026.

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