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Frank Emmert-Streib, Matthias Dehmer, Salissou Moutari
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of meth…

lieferbar innerhalb 2-3 Wochen

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Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

lieferbar innerhalb 2-3 Wochen

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Bing Zhang
Machine Learning-Based Hyperspectral Image Processing

An authoritative deep dive into the most recent machine learning approaches to hyperspectral remote sensing image processingIn Machine Learning-Based Hyperspectral Image Processing, distinguished research…

lieferbar ab 10.11.2025.

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Patrick Klein
Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

If a manufacturing company's main goal is to sell products profitably, protecting production systems from defects is essential and has led to vast documentation and expert knowledge. Industry 4.0 has faci…

lieferbar innerhalb 2-3 Wochen

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Christos Troussas, Cleo Sgouropoulou, Akrivi Krouska
Human-Computer Interaction and Augmented Intelligence

This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance hu…

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Chandrasekar Vuppalapati
Specialty Crops for Climate Change Adaptation

Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted…

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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science.In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming…

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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 batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

Buch

Edward Dongbo Cui
Vectorization

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

lieferbar innerhalb 1-2 Wochen

Buch

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science , Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental an…

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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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Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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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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Yuhan Kang, Zhu Han, Hao Gao
Mean Field Guided Machine Learning

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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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…

lieferbar innerhalb 2-3 Wochen

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Machine Learning for Causal Inference

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference,…

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Machine Learning in Medical Imaging

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024.The…

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Machine Learning in Clinical Neuroimaging

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10t…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

lieferbar innerhalb 1-2 Wochen

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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congr…

lieferbar innerhalb 2-3 Wochen

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