Thema Maschinelles Lernen – alle Bücher, Seite 5

Christian Kroer
Games, Markets, and Online Learning

This book presents a modern introduction to the field of algorithmic game theory. It places a heavy emphasis on optimization and online learning (a subdiscipline of machine learning), which are tools that…

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Christian Kroer
Games, Markets, and Online Learning

This book presents a modern introduction to the field of algorithmic game theory. It places a heavy emphasis on optimization and online learning (a subdiscipline of machine learning), which are tools that…

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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

Cognitive Technologies

The field of Artificial Intelligence has seen explosive growth in recent years, yet a persistent challenge remains, namely bridging the gap between theoretical concepts and practical implementation. Too o…

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Kausik Lakkaraju, Biplav Srivastava
Assessing, Explaining, and Rating AI Systems for Trust

Synthesis Lectures on Computer Science

This book discusses how to assess, explain, and rate the trustworthiness of artificial intelligence (AI) models and systems, and the authors use a causality-based rating approach to measure trust in AI mo…

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Hilary Lamb, Joel Levy, Claire Quigley,
SIMPLY. Künstliche Intelligenz

Simply

KI überraschend einfach!Visueller kann Wissen nicht sein: SIMPLY Künstliche Intelligenz ist die perfekte Einführung in die Grundlagen der Artificial Intelligencefür alle, die wenig Zeit haben, aber hungri…

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Tho Le-Ngoc, Mohammadmahdi Ghadaksaz, Mobeen Mahmood
AI-Enabled UAV-Assisted Massive MIMO

Wireless Networks

The authors explore various Unmanned Aerial Vehicle (UAV)-assisted massive Multiple-Input and Multiple-Output (MIMO) relaying systems designed for 5G-and-Beyond wireless networks. This book also addresses…

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Raymond Lee
Natural Language Processing

This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Langu…

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Yee Leung
Digital Twins of Cities

Advances in Spatial Science

As cities evolve at unprecedented speed and scale, traditional digital twins---virtual models of physical urban systems---fall short in capturing the dynamic and complex nature of urban life. This book br…

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Peter Leyden
The Great Progression: 2025-2050

A leading technology expert presents your guide to the next 25 years with a sweeping grand narrative about America's current reinvention---one that makes the most of artificial intelligence and other tran…

Erscheint bald

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Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen
Edge Intelligence in the Making

Synthesis Lectures on Learning, Networks, and Algorithms

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edg…

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Simon Liu
AI and Machine Learning for E-Commerce Risk Management

Transactions on Computer Systems and Networks

This book presents a practical, end-to-end approach to risk management in modern e-commerce platforms using machine learning. It covers buyer abuse, seller governance, collusion networks, and payment and …

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Zhen "Leo" Liu
Artificial Intelligence for Engineers

This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate stu…

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Gang Liu, Eric Inae, Meng Jiang
Deep Learning for Polymer Discovery

Synthesis Lectures on Data Mining and Knowledge Discovery

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges…

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Pedro A. López-García, Denisse L. Argote
Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

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Pedro A. López-García, Denisse L. Argote
Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

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George F. Luger
Artificial Intelligence: Principles and Practice

This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines …

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He Luo, Xiaoxuan Hu, Guoqiang Wang, Yingying Ma
Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

SpringerBriefs in Optimization

This book provides the current research on optimization methods for cooperative task allocation problems in drone fleets. Drone fleets, with their advantages of low cost, small size, and strong maneuverab…

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

SpringerBriefs in Statistics

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 1

Dynamic Modeling and Econometrics in Economics and Finance - Band 33

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensi…

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Hernán A Makse, Paolo Boldi, Francesco Sorrentino, Ian Stewart
Symmetries of Living and Artificial Intelligence Systems

Symmetry plays a crucial role across various scales in physics-from the fundamental particles that comprise matter to the intricate shapes of snowflakes. The ubiquity of these symmetries poses a pivotal q…

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