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Creativity and Critique in Digital Learning and Teaching

"This book shares valuable practice for how to navigate innovative approaches in digital education environments that are attainable for staff and accessible and engaging for students."- Radka Ne…

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Machine Learning in Modeling and Simulation

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering…

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Machine Learning Applications in Medicine and Biology

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the li…

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Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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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 th…

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Machine Learning for Indoor Localization and Navigation

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other…

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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…

lieferbar innerhalb 1-2 Wochen

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Jillian McCarthy
E-Learning in der Gesundheits- und Sozialpflegeausbildung

Die Entwicklung einer beruflichen Identität im Gesundheitswesen ist bekanntlich ein allmählicher Prozess, der von den Studierenden durch soziale Interaktion sowohl im akademischen als auch im klinischen U…

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A Guide to Applied Machine Learning for Biologists

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and empha…

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

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How Machine Learning Is Innovating Today's World

Provides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques.Machine learning (ML), a branch of artificial intelligence, has gained tremendou…

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Umberto Michelucci
Fundamental Mathematical Concepts for Machine Learning in Science

This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines¿such as physics, chemistry, biology, medicine, psychology and many…

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Machine Learning for Powder-Based Metal Additive Manufacturing

Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing pr…

lieferbar in mind. 4 Wochen

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Explainable Machine Learning for Multimedia Based Healthcare Applications

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for appli…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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Machine Learning for Econometrics and Related Topics

In the last decades, machine learning techniques ¿ especially techniques of deep learning ¿ led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

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Artificial Intelligence and Machine Learning

The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, …

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