Thema Maschinelles Lernen – alle Bücher, Seite 3

Yaniv Fox
Using Generative AI in Historical Practice

'Using Generative AI in Historical Practice' argues that generative models are reshaping historical scholarship. Rejecting medium - and long -term speculation, it focuses on near-term practice: how histor…

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Juan García,
KI & Big Data

"KI & Big Data" ist der unverzichtbare Leitfaden, um zu verstehen, wie Daten - ihre Verwaltung, Verarbeitung und Analyse - das Fundament jedes modernen Systems der Künstlichen Intelligenz bi…

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Juan García,
KI das Homo digitalis

KI das Homo digitalis untersucht die tiefgreifende Transformation der Menschheit im digitalen Zeitalter. Das Buch zeigt nicht nur, wie Künstliche Intelligenz, AGI und ASI Gesellschaft, Ethik und Identität…

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Juan García,
KI-Manager

"KIManager" ist der praxisorientierte Leitfaden für alle, die lernen wollen, wie Künstliche Intelligenz systematisch geplant, umgesetzt, betreut und gesteuert wird. Das Buch richtet sich an Eins…

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Juan García,
KI-Manager

"KIManager" ist der praxisorientierte Leitfaden für alle, die lernen wollen, wie Künstliche Intelligenz systematisch geplant, umgesetzt, betreut und gesteuert wird. Das Buch richtet sich an Eins…

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Yves van Gennip, Jeremy Budd
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

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Benyamin Ghojogh, Ali Ghodsi
Elements of Deep Learning

This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts and classi…

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Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang
Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book be…

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Jill Grennan
FinTech Regulation in the United States

This Element provides an overview of FinTech branches and analyzes the associated institutional forces and economic incentives, offering new insights for optimal regulation. First, it establishes a fundam…

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Tom Griffiths
Laws Of Thought Hb

'A must-read for anyone curious about how we think.' Charles Duhigg, author of The Power of Habit and SupercommunicatorsFrom the coauthor of Algorithms to Live By, an exploration of the quest to use mathe…

lieferbar in mind. 4 Wochen

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Tom Griffiths
The Laws of Thought

From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and…

lieferbar ab 11.2.2027.

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Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie
Advanced Multimodal Compatibility Modeling and Recommendation

Synthesis Lectures on Information Concepts, Retrieval, and Services

This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field. This topic, and…

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Antonio Gullí
Agentic Design Patterns

This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities ca…

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Lin Guo, Janet K. Allen, Farrokh Mistree
Architecting a Satisficing Strategy for Designing Complex Systems

In this book, the authors describe how designers evolve their designs through the Design Evolution Cycle. It identifies challenges associated with designing complex systems, such as dealing with multiple …

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Di Guo, Huaping Liu
Multi-Modal Robotic Intelligence

Artificial Intelligence: Foundations, Theory, and Algorithms

Recently, substantial progress has been made in the machine perception, particularly computer vision, largely due to the advancements in deep learning techniques. However, robots often operate in unstruct…

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Reema Gupta, Sandeep Kumar Samota, Snehashish Chakraverty
Computational Differential Equations with AI

Synthesis Lectures on Mathematics & Statistics

This book provides cutting-edge machine learning (ML) methods, including Physics-Informed Neural Networks (PINNs), Neural Operators, and other ML methods, for solving ordinary differential equations (ODEs…

lieferbar in mind. 4 Wochen

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Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Recent Trends in Modelling the Continuous Time Series Using Deep Learning

This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addr…

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Fengxiang He, Dacheng Tao
Foundations of Deep Learning

Machine Learning: Foundations, Methodologies, and Applications

Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a &…

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Lukas Benjamin Heidbrink
Quantitative Prognosen in der externen Unternehmensrechnung

Barwertkalküle erfordern Prognosen künftiger Zahlungsströme oder Gewinne, haben sich zur vorherrschenden Bewertungsmethodik entwickelt und kommen immer häufiger zur Anwendung. In dieser Arbeit werden ausg…

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Benjamin Heinbach
Reinforcement Learning-Based Planning of Factory Layouts

Findings from Production Management Research

Facility layout planning is a core discipline in production management, directly shaping operational efficiency, material flow, and cost structures. Despite its criticality, facility layout planning prese…

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