Machine Learning Und Kryptowährungen – alle Bücher, Seite 2

Machine Learning, Optimization, and Data Science

Lecture Notes in Computer Science - Band 16468

The two-volume set LNCS 16467-16468 constitutes the refereed proceedings of the 11th International Conference on Machine Learning, Optimization, and Data Science, LOD 2025, held in Castiglione della Pesca…

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Applied Machine Learning and Data Analytics

Communications in Computer and Information Science - Band 2636

This book constitutes the revised selected papers of the 7th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2024, held in Shamshabad, India, during December 20--21, 2024.Th…

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Srikrishnan Sundararajan
Multivariate Analysis and Machine Learning Techniques

Transactions on Computer Systems and Networks

This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Py…

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Machine Learning, Optimization, and Data Science

Lecture Notes in Computer Science - Band 16467

This two-volume set LNCS 16467-16468 constitutes the refereed proceedings of the 11th International Conference on Machine Learning, Optimization, and Data Science, LOD 2025, held in Castiglione della Pesc…

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Cyber Security, Cryptology, and Machine Learning

Lecture Notes in Computer Science - Band 16244

This volume constitutes the proceedings of 9th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2025, in Be'er Sheva, Israel, during December 4--5, 2025.The 17 regular pa…

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Machine Learning and Big Data-enabled Biotechnology

Enables researchers and engineers to gain insights into the capabilities of machine learning approaches to power applications in their fieldsMachine Learning and Big Data-enabled Biotechnology discusses h…

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Advances in Artificial Intelligence and Machine Learning

Lecture Notes in Electrical Engineering - Band 1264

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning-ICAAAIML 2023. The book covers rese…

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Kai Li, Xin Yuan, Wei Ni
Security and Resilience in Distributed Machine Learning

Springer Series in Reliability Engineering

This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenge…

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Machine Learning and Its Applications to Healthcare

Mathematics for Sustainable Developments

This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid method…

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

Springer Undergraduate Texts in Mathematics and Technology

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Quantum Computing and Machine Learning for 6g

Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary…

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Yiran Chen, Hai Li, Huanrui Yang
Computer Engineering Machine Learning and Neural Networks

This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors d…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Advances in Artificial Intelligence and Machine Learning

This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an int…

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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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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The secon…

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Positioning and Navigation Using Machine Learning Methods

Navigation: Science and Technology - Band 14

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

AGU Advanced Textbooks

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

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Signals and Communication Technology

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current…

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