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Internet of Things enabled Machine Learning for Biomedical Applications

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes…

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

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Multi-Criteria Decision-Making and Optimum Design with Machine Learning

As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. …

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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 a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop an…

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IoT and Machine Learning for Smart Applications

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine lea…

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Computer-Aided and Machine Learning-Driven Drug Design

Computer-Aided Drug Discovery and Design - Band 3

The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical ind…

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Parimal Pal Chaudhuri, Adip Dutta, Somshubhro Pal Choudhury, Dipanwita Roy Chowdhury
New Kind of Machine Learning-Cellular Automata Model

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources.…

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Artificial Intelligence and Machine Learning Applications for Sustainable Development

The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discuss…

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Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques al…

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Zhou Xu
Machine-Learning-Assisted Software Defect Prediction

This book focuses on software defect prediction (SDP) in order to avoid threats related to quality, reliability and safety. It details advanced machine/deep learning technologies to discuss strategies for…

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Xufeng Zhao, Qihui Wu, Hoang Pham
Machine Learning

This book is designed to provide a well-structured, comprehensive, and practical textbook on machine learning for undergraduate and graduate students in related fields. Through clear and accessible explan…

lieferbar ab 24.2.2027.

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Artificial Intelligence and Machine Learning for Sustainable Development

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the f…

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Milind Sharma
The Quantamental Revolution: Factor Investing in t he Age of Machine Learning

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

lieferbar in mind. 4 Wochen

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Machine Learning Systems

This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and relat…

lieferbar ab 3.2.2027.

Buch

Sanad Aburass, Ibrahim Aljarah
Classical Machine Learning

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation sy…

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Bikram Pratim Bhuyan, Amylia Ait Saadi, Yassine Meraihi, Amar Ramdane-Cherif
Scientific Machine Learning

This book highlights and addresses a crucial need in the emerging field of Scientific Machine Learning (SciML) by offering a comprehensive and accessible guide that blends theory, algorithms, and applicat…

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Tiny Machine Learning

This comprehensive guide provides the foundational tools, optimization techniques, and practical case studies you need to engineer autonomous edge systems across healthcare, industrial automation, and IoT…

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Jason Edwards
Adversarial Machine Learning

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromisedAdversarial Machine Learning is a definitive guide to one of the most urgent chal…

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Scientific Machine Learning

This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. The event gathered leading researchers in mathematics, algorithms,…

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Informed Machine Learning

Cognitive Technologies

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use case…

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