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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science , Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental an…

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Proceedings of the Third ICMDS'24: Machine Learning, Inverse Problems and Related Fields

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging …

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Autonomous Cyber Resilience

Authoritative and highly comprehensive resource on the latest research and strategies to develop cyber resilience in any network systemAutonomous Cyber Resilience presents key research contributions in th…

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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…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Hanspeter A. Mallot
Computational Neuroscience

This book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and …

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Patricia Piekenbrock
The Future as a Team Player

Experiencing knowledge at last!For me, for us, for everyone. Curiosity and enthusiasm are the key to the future - this is what the non-fiction book with its multimedia app stands for. It offers perspectiv…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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Protecting and Mitigating Against Cyber Threats

The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of toda…

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Pam Baker
Agentic AI for Dummies

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligenceAgentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond …

lieferbar ab 27.1.2026.

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Steve Wilson
The Developer's Playbook for Large Language Model Security

"Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats.…

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

lieferbar ab 4.11.2025.

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

lieferbar ab 31.12.2025.

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Data Protection

This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data pr…

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Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud
Scaling Graph Learning for the Enterprise

Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to…

lieferbar ab 16.9.2025.

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 31.12.2025.

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Terrence Sejnowski
The Deep Learning Revolution

How deep learning---from Google Translate to driverless cars to personal cognitive assistants---is changing our lives and transforming every sector of the economy.The deep learning revolution has brought …

lieferbar ab 3.2.2026.

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