Learningmachines – Bücher, LPs, CDs und mehr, Seite 8

Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in the Advances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods i…

lieferbar ab 1.1.2026.

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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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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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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

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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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Katarzyna Kopczewska
Modelling Spatial Density

Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessib…

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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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Machine Learning, Deep Learning, and Blockchain

This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28--29, 202…

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

This book presents a comprehensive exploration of the dynamical system approach in numerical linear algebra, with a special focus on computing generalized inverses, solving systems of linear equations, an…

lieferbar ab 2.1.2026.

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Progress in Pattern Classification and Machine Learning

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11…

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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 30.4.2026.

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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…

lieferbar in mind. 4 Wochen

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N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Machine Learning for Materials Discovery

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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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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Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Human-Computer Interaction and Augmented Intelligence

This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance hu…

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Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Recent Advances in Logo Detection Using Machine Learning Paradigms

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and doma…

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

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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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