Machine Learnig – Bücher, CDs, LPs und mehr, Seite 4 online kaufen

Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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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 approachesFew areas of technology have greater potential to revolutionize the globe than artifi…

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Boosting Software Development Using Machine Learning

This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications.…

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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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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

This unique practical reference for protein scientist shows how to harness the power of machine learning for quick and efficient full quantum mechanical calculations of protein structures and properties.

lieferbar ab 5.11.2025.

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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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Machine Learning for Indoor Localization and Navigation

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other…

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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 Approaches in Financial Analytics

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals…

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Machine Learning and Intelligent Communication

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Band 518

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, dur…

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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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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

A textbook applying fundamental seismology theories to the latest computational toolsThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these …

lieferbar ab 5.8.2025.

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From Machine Learning to Artificial Intelligence

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The…

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2 Bücher

Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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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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Shivam Singh, Manish Kumar Goyal
Understanding Atmospheric Rivers Using Machine Learning

SpringerBriefs in Applied Sciences and Technology

This book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). It begins with the historical background and mechanisms governing AR formation, giving insights…

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Machine Learning for Econometrics and Related Topics

In the last decades, machine learning techniques ¿ especially techniques of deep learning ¿ led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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Machine Learning for Data Science Handbook

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and…

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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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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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