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    2. Machine Learning For AD Systems

    3. Machine Learning For AD Systems – alle Bücher und CDs, Seite 5

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    Lei Cheng: Bayesian Tensor Decomposition for Signal Processing and Machine Learning, Buch

    Lei Cheng, Yik-Chung Wu, Zhongtao Chen
    Bayesian Tensor Decomposition for Signal Processing and Machine Learning

    This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which ach…

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    Anupam Bagchi: Essentials of Python for Artificial Intelligence and Machine Learning, Buch

    Anupam Bagchi, Pramod Gupta
    Essentials of Python for Artificial Intelligence and Machine Learning

    Synthesis Lectures on Engineering, Science, and Technology

    This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python s advanced module features and apply …

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    EUR 53,32*
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    : Machine Learning and Data Analytics for Solving Business Problems, Buch

    Machine Learning and Data Analytics for Solving Business Problems

    Unsupervised and Semi-Supervised Learning

    This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These method…

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    EUR 175,23*
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    : Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing, Buch

    Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

    Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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    EUR 225,43*
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    : Machine Learning Techniques for Smart City Applications: Trends and Solutions, Buch

    Machine Learning Techniques for Smart City Applications: Trends and Solutions

    Advances in Science, Technology & Innovation

    This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The fo…

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    EUR 164,28*
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    : Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Buch

    Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

    Lecture Notes in Computer Science -Band 14291

    This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouve…

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    Zongli Lin: Output Feedback Reinforcement Learning Control for Linear Systems, Buch

    Zongli Lin, Syed Ali Asad Rizvi
    Output Feedback Reinforcement Learning Control for Linear Systems

    Control Engineering

    This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New d…

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    Vitor Joao Pereira Domingues Martinho: Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector, Buch

    Vitor Joao Pereira Domingues Martinho
    Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

    SpringerBriefs in Applied Sciences and Technology

    This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policie…

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    EUR 47,99*
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    : Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications, Buch

    Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

    Contributions to Statistics

    This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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    Ali Safa: Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems, Buch

    Ali Safa, Francky Catthoor, Georges Gielen, Lars Keuninckx
    Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems

    This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigatio…

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    : Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication, Buch

    Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

    Signals and Communication Technology

    This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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    Kamal I. M. Al-Malah: Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers, Buch

    Kamal I. M. Al-Malah
    Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers

    MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Le…

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    Bosen Lian: Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games, Buch

    Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
    Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

    Advances in Industrial Control

    Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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    National Academies of Sciences Engineering and Medicine: Data Integration in Learning Health Care Systems for Traumatic Brain Injury, Buch

    National Academies of Sciences Engineering and Medicine, Health And Medicine Division, Board On Health Sciences Policy, Forum on Traumatic Brain Injury
    Data Integration in Learning Health Care Systems for Traumatic Brain Injury

    Traumatic brain injuries (TBI) affect millions of Americans each year, causing symptoms that can be debilitating and long-lasting and resulting in physical, cognitive, emotional, and financial ramificatio…

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    : Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference, Buch

    Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference

    Lecture Notes in Networks and Systems -Band 764

    Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL 23 promotes the interaction among the scientific community to di…

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    : Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference, Buch

    Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference

    Lecture Notes in Networks and Systems -Band 769

    This book includes the accepted papers of the four selected workshops which focus on integration of emerging technologies into education and training (ETELT), Interactive Environments and Emerging Technol…

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    Yannick Lingelbach: Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction, Buch

    Yannick Lingelbach
    Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

    This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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    Claudia Nagel: Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms, Buch

    Claudia Nagel
    Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms

    An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological c…

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    EUR 49,00*
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    Mark Liu: Learn Generative AI with Pytorch, Buch

    Mark Liu
    Learn Generative AI with Pytorch

    Create your own generative AI models for text, images, music, and more! Generative AI tools like ChatGPT, Bard, and DALL-E have transformed the way we work. Learn Generative AI with PyTorch takes you on …

    lieferbar ab 26.11.2024.
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    EUR 77,03*
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    Catherine Nelson: Software Engineering for Data Scientists, Buch

    Catherine Nelson
    Software Engineering for Data Scientists

    This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

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    EUR 69,78*
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