Unsupervised Learning – alle Bücher

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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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 7.2.2026.

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Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been exp…

lieferbar innerhalb 2-3 Wochen

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Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan
Machine Learning for Wireless Communication

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement le…

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Positioning and Navigation Using Machine Learning Methods

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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Supervised and Unsupervised Statistical Data Analysis

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

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Ricky Leung
Leveraging GenAI for Machine Learning Education in Public Health

Part 1 Laying the Foundation.- Chapter 1 Introduction.- Chapter 2 Understanding AI and Machine Learning for Public Health.- Chapter 3 Getting Started with RStudio and ChapGPT.- Part 2 Machine Learning Tec…

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Computational Advances in Bio and Medical Sciences

.- A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis..- Resistance genes are distinct in protein-protein interaction netwo…

lieferbar innerhalb 2-3 Wochen

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Haesik Kim
Artificial Intelligence in the 6G Ecosystem

This textbook provides knowledge of artificial intelligence (AI), wireless communications, and cellular networks. It covers AI techniques such as unsupervised learning, supervised learning, reinforcement …

lieferbar ab 13.2.2026.

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Harald Luschgy, Gilles Pagès
Marginal and Functional Quantization of Stochastic Processes

Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the …

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Engineering of Complex Computer Systems

.- Machine Learning for Complex Systems..- Runtime Anomaly Detection for Drones: An Integrated Rule Mining and Unsupervised Learning Approach..- FinPTA: An Effective Model for Financial Sentiment Analysis…

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Discovery Science

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024.The 53 ful…

lieferbar innerhalb 2-3 Wochen

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Discovery Science

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024.The 53 ful…

lieferbar innerhalb 2-3 Wochen

Buch

Theodoros Karakasidis, Avraam Charakopoulos
Time Series and Networks Analysis

Introduction.- Time series statistics.- Time domain analysis.- Correlation and causality.- Clustering time series.- Nonlinear analysis.- Complex network time series.- Topological properties of networks.- …

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Advanced Analytics and Learning on Temporal Data

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024.The 8 …

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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume f…

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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

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