Machine Learning For AD Systems – alle Bücher und CDs, Seite 2

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Artificial Intelligence and Machine Learning for Industry 4.0

This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manu…

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Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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Kiran
Machine Learning for Metallic Corrosion Modeling: A Computational Exploration

Metal corrosion, from rusty cars to crumbling bridges, costs billions. Enter machine learning! This powerful tool analyzes vast amounts of data to predict and prevent corrosion. By simulating how metals i…

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Modern Approaches in IoT and Machine Learning for Cyber Security

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. T…

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Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated t…

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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Jesse van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos
Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how thes…

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Archon

Roberto Alonso (Violine), Christian Smith (Schlagzeug)

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Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 23.12.2025.

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Aggregate - New Works for automated Pipe Organs

gamut inc (Orgeln Kaiser-Wilhelm Gedächtniskirche, Auenkirche, Kapelle der Versöhnung)

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2 CDs

Anand Sampat, Mohamed El-Geish, Shabaz Patel
Shipping Machine Learning Systems

This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often…

lieferbar ab 31.1.2026.

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those movin…

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

From the back cover:In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of th…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Philosophy of Science for Machine Learning

Synthese Library - Band 527

This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about…

lieferbar ab 29.12.2025.

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:*The basics of probability and statistics:*These chapters focus on t…

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Machine Learning Applications for Intelligent Energy Management

¿As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data,…

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Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing

This two-volume set CCIS 2490-2491 constitutes the refereed proceedings of the Third International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing…

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