Machine Learning And Privacy – alle Bücher, Seite 3

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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Uncertainty, Optimization and Machine Learning with Applications

Mathematics for Sustainable Developments

This book is a collection of select chapters on topics related to uncertainty, optimization techniques and machine learning applications, emphasizing applications that directly address topics related to f…

lieferbar ab 6.10.2026.

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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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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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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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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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Advances in Distributed Computing and Machine Learning

Lecture Notes in Networks and Systems

This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organiz…

lieferbar ab 11.8.2026.

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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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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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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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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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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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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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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 …

lieferbar in mind. 4 Wochen

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Brain to Computer Interfaces Using Machine Learning and Deep Learning

What if the most powerful interface you will ever use requires no keyboard, no screen, no voice, just thought? Brain-computer interfaces are making this a reality, and brainwave-to-machine commands are th…

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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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Stefan Papp, Zoltan Toth, Katherine Munro, Wolfgang Weidinger
The Handbook of Data Science and AI

A comprehensive overview of the various fields of application of data science and artificial intelligence.Case studies from practice to make the described concepts tangible.Practical examples to help you …

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