Machine Learning-based Indoor Localization – alle Bücher, CDs und LPs, Seite 3 online kaufen

Rasit Dinc
Machine Learning for Healthcare

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care.

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Machine Learning for Astrophysics

This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters all…

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Machine Learning for Networking

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, MLN 2023, held in Paris, France, during November 28 30, 2023. The 18 full papers inc…

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Gerald Friedland
Information-Driven Machine Learning

This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on exper…

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Parteek Bhatia
Machine Learning with Python

This textbook presents the theoretical foundations of machine learning along with its practical implementation in Python, to help a beginner learn and implement all aspects of the subject. It will be a vi…

lieferbar ab 30.4.2025.

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Marcus J. Neuer
Machine Learning for Engineers

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex. This textbook…

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Metaheuristics for Machine Learning

The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The f…

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Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

lieferbar ab 8.9.2025.

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Luanne Misquitta, Christophe Willemsen
Neo4j: The Definitive Guide

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to pow…

lieferbar ab 2.9.2025.

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Max A Little
Machine Learning for Signal Processing

Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern in…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems Offering insights across various domains such as co…

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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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Maria Han Veiga, François Gaston Ged
The Mathematics of Machine Learning

De Gruyter Textbook

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate stude…

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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

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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Machine Learning for Cyber Security

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 15

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and secur…

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Rohit M. Thanki, Karol Przystalski
Explainable Machine Learning in Medicine

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medi…

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N. M. Anoop Krishnan, Ravinder Bhattoo, Hariprasad Kodamana
Machine Learning for Materials Discovery

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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Maurizio Petrelli
Machine Learning for Earth Sciences

This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve…

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