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Distributed Machine Learning and Computing

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can b…

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Artificial intelligence and Machine Learning

This book constitutes the revised selected papers of the 41st IBIMA International Conference on Artificial intelligence and Computer Science, IBIMA-AI 2023, which took place in Granada, Spain during June …

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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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Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Machine Learning and Metaheuristic Computation

Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches Few areas of technology have greater potential to revolutionize the globe than artif…

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Artificial Intelligence and Machine Learning

This book constitutes the refereed proceedings of the 35th Benelux Conference on Artificial Intelligence and Machine Learning, BNAIC/Benelearn 2023, held in Delft, The Netherlands, during November 8 10, 2…

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Machine Learning and Intelligent Communication

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - volume 518

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, dur…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Analytics, Machine Learning, and Artificial Intelligence

This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 20…

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Cyber Security, Cryptology, and Machine Learning

This book constitutes the proceedings of the 8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024, held in Be'er Sheva, Israel, during December 19-20, 2024. The 16 …

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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: 1. The basics of probability and statistics: These chapters focus …

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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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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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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these…

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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 …

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Computation of Artificial Intelligence and Machine Learning

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur,…

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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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Computation of Artificial Intelligence and Machine Learning

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur,…

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