Machine Learning Methods – alle Bücher

Larissa Bartok, Julia Spörk, Robin Gleeson, Maria Krakovsky
Anwendung statistischer und Machine-Learning-Methoden für Fragestellungen zu Studienerfolg

Analytics-Instrumente können dabei helfen, mehr über den Lern- und Studienerfolg von Studierenden herauszufinden und geeignete Maßnahmen zur Unterstützung von Studierenden abzuleiten. Zwei Projekte, die s…

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Machine Learning Methods in Systems

This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative ap…

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Math Optimization for Artificial Intelligence

Mathematical Methods in the Digital Age -Band 2

This book explains the importance of AI mathematical optimization. It covers AI optimization's fundamental concepts, methodologies, and practical applications in machine learning, automation, NLP, and rea…

lieferbar ab 21.4.2025.

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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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Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in the Advances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods i…

lieferbar ab 1.9.2025.

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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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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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Ivan Reznikov
Langchain for Life Science and Healthcare

Feeling overwhelmed by the volume of data in your research? Sifting through massive amounts of data to find useful insights is becoming increasingly difficult in drug discovery, genetics, and healthcare. …

lieferbar ab 30.9.2025.

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Matthias Karlbauer
Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first …

lieferbar innerhalb 2-3 Wochen

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Cem Ünsalan, Eren Atmaca, Berkan Höke
Embedded Machine Learning with Microcontrollers

This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods imp…

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Cem Ünsalan, Eren Atmaca, Berkan Höke
Embedded Machine Learning with Microcontrollers

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning metho…

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Julia Hartung
Machine Learning for Camera-Based Monitoring of Laser Welding Processes

The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, an…

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

lieferbar in mind. 4 Wochen

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Automation 2024: Advances in Automation, Robotics and Measurement Techniques

This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal…

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Giorgos Tsironis
Artificial Intelligence and Complex Dynamical Systems

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific d…

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Big Data Analytics and Knowledge Discovery

Lecture Notes in Computer Science -Band 14912

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024. The 16 f…

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Bla¿ ¿Krlj
From Unimodal to Multimodal Machine Learning

With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made signif…

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Cyber-Physical Systems Engineering and Control

This book is devoted to the study of engineering and control technologies for the cyber-physical systems development. This book defines the approaches in the engineering leverage the exploitation of artif…

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