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    2. Learning Algorithms

    3. Learning Algorithms – alle Bücher, Seite 2

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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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    EUR 142,37*
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    Gwendolyn Stripling: Low-Code AI, Buch

    Gwendolyn Stripling, Michael Abel
    Low-Code AI

    Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using…

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    EUR 79,27*
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    Tobias Zwingmann: Augmented Analytics, Buch

    Tobias Zwingmann, Willi Weber
    Augmented Analytics

    Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern …

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    EUR 60,82*
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    Zhiwei Qin (Tony): Reinforcement Learning in the Ridesharing Marketplace, Buch

    Zhiwei Qin (Tony), Xiaocheng Tang, Jieping Ye, Hongtu Zhu
    Reinforcement Learning in the Ridesharing Marketplace

    Synthesis Lectures on Learning, Networks, and Algorithms

    This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics…

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    EUR 42,66*
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    Richard T. B. Ma: Internet Transport Economics, Buch

    Richard T. B. Ma
    Internet Transport Economics

    Synthesis Lectures on Learning, Networks, and Algorithms

    This book presents Internet transport economics as a new approach to understanding the packet-switching paradigm of Internet infrastructure as a global transport system for data packets. It is a prescient…

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    EUR 106,66*
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    Jeffrey G. Andrews: An Introduction to Cellular Network Analysis Using Stochastic Geometry, Buch

    Jeffrey G. Andrews, Harpreet S. Dhillon, Ahmad Alammouri, Abhishek K. Gupta
    An Introduction to Cellular Network Analysis Using Stochastic Geometry

    Synthesis Lectures on Learning, Networks, and Algorithms

    This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonic…

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    EUR 42,66*
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    Sid Chi-Kin Chau: Online Capacity Provisioning for Energy-Efficient Datacenters, Buch

    Sid Chi-Kin Chau, Minghua Chen
    Online Capacity Provisioning for Energy-Efficient Datacenters

    Synthesis Lectures on Learning, Networks, and Algorithms

    This book addresses the urgent issue of massive and inefficient energy consumption by data centers, which have become the largest co-located computing systems in the world and process trillions of megabyt…

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    EUR 53,32*
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    : Federated Learning for Digital Healthcare Systems, Buch

    Federated Learning for Digital Healthcare Systems

    Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learn…

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    EUR 225,43*
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    : Decision-Making Models, Buch

    Decision-Making Models

    Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic…

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    EUR 186,29*
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    Taeho Jo: Deep Learning Foundations, Buch

    Taeho Jo
    Deep Learning Foundations

    This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

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    EUR 117,33*
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    Deep Ray: Deep Learning and Computational Physics, Buch

    Deep Ray, Assad A. Oberai, Orazio Pinti
    Deep Learning and Computational Physics

    The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

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    EUR 85,33*
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    : Practical Machine Learning Tools and Techniques for Industrial Applications, Buch

    Practical Machine Learning Tools and Techniques for Industrial Applications

    The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world s…

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    EUR 244,37*
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    Xavier Vasques: Machine Learning Theory and Applications, Buch

    Xavier Vasques
    Machine Learning Theory and Applications

    Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delv…

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    EUR 109,47*
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    : Machine Learning and Deep Learning in Computational Toxicology, Buch

    Machine Learning and Deep Learning in Computational Toxicology

    Computational Methods in Engineering & the Sciences

    This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a s…

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    EUR 164,28*
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    : Deep Learning for Cognitive Computing Systems, Buch

    Deep Learning for Cognitive Computing Systems

    Smart Computing Applications, 7

    Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improve…

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    EUR 153,48*
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    Jeff Edmonds: How to Think about Algorithms, Buch

    Jeff Edmonds
    How to Think about Algorithms

    "The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it ideal…

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    EUR 185,03*
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    Jeff Edmonds: How to Think about Algorithms, Buch

    Jeff Edmonds
    How to Think about Algorithms

    "The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it ideal…

    lieferbar in mind. 4 Wochen
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    EUR 45,46*
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    Ronald T. Kneusel: The Art of Randomness: Using Randomized Algorithms in the Real-World, Buch

    Ronald T. Kneusel
    The Art of Randomness: Using Randomized Algorithms in the Real-World

    "The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolu…

    sofort lieferbar
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    EUR 39,88*
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    Floyd Erol Schulze: Hey Computer!, Buch

    Floyd Erol Schulze
    Hey Computer!

    Artificial neuronal networks open up radical new pathways for image creation. On the basis of textual prompts, machine-learning algorithms like Midjourney and DALL-E generate imagery that is simultaneousl…

    sofort lieferbar
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    EUR 24,20*
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    Zhongguo Li: Distributed Optimization and Learning, Buch

    Zhongguo Li, Zhengtao Ding
    Distributed Optimization and Learning

    Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained des…

    lieferbar innerhalb 2-3 Wochen
    Buch
    EUR 187,56*
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