Thema Maschinelles Lernen – alle Bücher, Seite 4

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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Francesco Leofante, Matthew Wicker
Robust Explainable AI

SpringerBriefs in Intelligent Systems

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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Yee Leung
Digital Twins of Cities

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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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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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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Sidi Lu, Weisong Shi
Vehicle Computing

Over the past century, vehicles have predominantly functioned as a means of transportation. However, as vehicular computation and communication capacities continue to expand, it is anticipated that upcomi…

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Man Luo, Tejas Gokhale, Neeraj Varshney, Yezhou Yang
Advances in Multimodal Information Retrieval and Generation

Synthesis Lectures on Computer Vision

This book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of…

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

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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Bernhard Metzger
KI verstehen, anwenden, profitieren

KI verstehen, anwenden, profitieren - Praxiswissen, Prompts und Strategien für den erfolgreichen KI-Einsatz im Alltag und Beruf ist dein interaktiver Begleiter in die Welt der Künstlichen Intelligenz. Du …

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Bernhard Metzger
KI verstehen, anwenden, profitieren

KI verstehen, anwenden, profitieren - Praxiswissen, Prompts und Strategien für den erfolgreichen KI-Einsatz im Alltag und Beruf ist dein interaktiver Begleiter in die Welt der Künstlichen Intelligenz. Du …

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Sean Meyn
Control Systems and Reinforcement Learning

"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book …

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Umberto Michelucci
Fundamental Mathematical Concepts for Machine Learning in Science

This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines-such as physics, chemistry, biology, medicine, psychology and many…

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Rudy Milani
Advanced Automation for Comprehensible Causal Explanations of Reinforcement Learning Agents

This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addre…

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Laurence Moroney,
PyTorch für KI und ML

Animals

PyTorch kompetent nutzen, KI-Modelle erfolgreich bauenEin praxis- und codeorientierter Guide für Python-Entwickler*innenAnwendungen mit KI und ML entwickeln, ohne fortgeschrittene Mathematik- oder Theorie…

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Laura Mostert, Roy Lindelauf, Chiara Pulice, Marnix Provoost
Machine Learning Techniques to Predict Terrorist Attacks

Terrorism, Security, and Computation

One of the most influential actors in spreading Islamist violence across the Sahel is Jama'at Nasr Al Islam Wal Muslimin (JNIM).This book provides the first systematic quantitative analysis of JNIM's beha…

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John Paul Mueller, Luca Massaron
Machine Learning For Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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Francesco Nappo, Giovanni Valente
Analogical Reasoning in Science

Elements in the Philosophy of Science

When faced with a difficult problem or limited information about a novel domain, how do scientists advance their research? As historians of science have widely noted, one strategy common to the natural an…

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