Thema Maschinelles Lernen – alle Bücher, Seite 3

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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Tom Griffiths
The Laws of Thought

'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 innerhalb 1-2 Wochen

Buch

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 …

lieferbar innerhalb 2-3 Wochen

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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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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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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

Computational Mechanics Meets Articial Intelligence.- Neural Networks.- Machine Learning in Computational Mechanics.- Methodological Overview of Deep Learning in Computational Mechanics.- Index.

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Jeffrey W. Herrmann
Metareasoning for Robots

Synthesis Lectures on Computer Science

This Second Edition provides an essential resource that robotics researchers and engineers can use to make their robots smarter. This book includes design guidelines and helpful examples from state-of-the…

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Yu Huang, Zijiang Yang
Autonomous Driving Handbook

As the development of autonomous driving is in its infancy, more and more companies, engineers, scientists, and students are entering or planning to enter this field. As a practitioner who has been deeply…

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Lei Huang
Normalization Techniques in Deep Learning

Synthesis Lectures on Computer Vision

This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization abil…

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Chip Huyen,
Generative KI-Systeme entwickeln

Von der Idee zur KI-Anwendung - praxisnah und fundiertEin Leitfaden für alle wesentlichen Aspekte der Entwicklung generativer KI-Systeme, inklusive Prompt Engineering, RAG, Finetuning und AgentenDas Buch …

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Ephraim Igberase, Innocentia G. Mkhize, Hilary Limo Rutto
Advanced Wastewater Treatment Using Chitosan Derivatives

Engineering Materials

This book presents a novel fusion of environmental science, materials engineering, and intelligent modeling tools in order to provide a thorough investigation of advanced wastewater treatment employing ch…

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Iacovos Ioannou, Prabagarane Nagaradjane, Vasos Vassiliou
Distributed Artificial Intelligence for 5G/6G Communications

The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development…

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Tanvir Islam
Hands-on Deep Learning

This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning. The book is particularly useful for professionals in industries w…

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Mahima Jain, Sanjay Dhir, Shuchi Sinha
AI Adoption in Healthcare Industry 4.0

Flexible Systems Management

This book focuses on the prominent innovative business models and employability implications of artificial intelligence in the healthcare industry 4.0. To do so, it draws upon a rich base of case studies …

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