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Rhythmische Vorteile in Big Data und Machine Learning

Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Mensc…

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Advances in Machine Learning and Big Data Analytics I

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

lieferbar innerhalb 2-3 Wochen

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Michael Lutter
Inductive Biases in Machine Learning for Robotics and Control

One important robotics problem is ¿How can one program a robot to perform a task¿? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data …

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Advancements in Machine Learning and Natural Language Processing: Innovations and Applications

This book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and tr…

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Ziel des Lehrbuchs ist das Einüben und Umsetzen wichtiger Kompetenzen beim Datenhandling. So bestehen die ersten Schritte einer jeden empirischen Studie darin, die Daten für die eigene Analyse vorzubereit…

lieferbar ab 31.8.2025.

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Roland Schwaiger, Joachim Steinwendner
Neuronale Netze programmieren mit Python

Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die gen…

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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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Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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Sean Moriarity
Machine Learning in Elixir

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in …

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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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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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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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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 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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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 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 in Medical Imaging

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

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