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Modeling and Optimization of Signals Using Machine Learning Techniques

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing.Model…

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Shikharesh Majumdar
Resource Management on Distributed Systems

Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systemsResource Management on Distributed Systems provides helpful g…

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Practical Machine Learning Tools and Techniques for Industrial Applications

The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world s…

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Ai-Based Advanced Optimization Techniques for Edge Computing

The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges an…

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Mark Levene, Martyn Harris
Just Enough Data Science and Machine Learning

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.In Just Enough Data Science an…

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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

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Intelligent Computing Techniques in Biomedical Imaging

Intelligent Computing Techniques in Biomedical Imaging: Methods, Case Studies, and Applications provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in bi…

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Aurelien Geron
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. Perhaps you're ready to jump in, but you're unsure …

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Jerry D. Gibson
Information Theoretic Principles for Agent Learning

This book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside o…

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Computation-Aware Algorithmic Design for Cyber-Physical Systems

This contributed volume aims to build the foundation of a framework for computationally aware algorithmic design for cyber-physical systems (CPSs), focusing on approaches that take computation into accoun…

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