Machine Learning Methods – alle Bücher, Seite 2

Ihre Suche nach "Machine Learning Methods" (Bücher) ergab 29 Treffer.

Jesse van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos
Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how thes…

lieferbar innerhalb 2-3 Wochen

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Machine Learning in Astronomy (IAU S368)

Today's astronomical observatories are generating more data than ever, from surveys to deep images. Machine learning methods can be a powerful tool to harness the full potential of these new observatories…

lieferbar in mind. 4 Wochen

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Andreas Tilevik
Multivariate Statistics and Machine Learning in R For Beginners

This book is more than just a book -- it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers read…

lieferbar ab 10.1.2026.

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Malware

This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides…

lieferbar innerhalb 2-3 Wochen

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Applying Machine Learning in Science Education Research

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research proj…

lieferbar innerhalb 2-3 Wochen

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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

lieferbar innerhalb 2-3 Wochen

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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.- …

lieferbar innerhalb 2-3 Wochen

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Computational Design of Battery Materials

This book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction, and design of high-performance battery materials. Rech…

lieferbar innerhalb 2-3 Wochen

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N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
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…

lieferbar innerhalb 2-3 Wochen

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