Thema Maschinelles Lernen – alle Bücher, Seite 3

Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Introduction to Machine Learning with Security

Synthesis Lectures on Engineering, Science, and Technology

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and…

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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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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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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…

lieferbar ab 9.6.2026.

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Ken Huang, Chris Hughes
Securing AI Agents

Advances in Data Analytics, AI, and Smart Systems

This book focuses on agentic AI security, providing a comprehensive guide to the theoretical foundations and practical techniques required to secure the increasingly prevalent AI agent systems. It examine…

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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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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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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

Springer Theses

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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Axel Jantsch
Anatomy of Intelligent Agents

This book dissects the relevant terms intelligence, learning, value and goal. The author explains all relevant technical terms carefully and clearly for a general audience, who is scientifically and techn…

lieferbar ab 18.6.2026.

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Meng Ji, Michael Oakes
Multilingual Environmental Communications

Based on real-life case studies, this book provides an empirical study of the linguistic accessibility of environmental information for people from diverse language, cultural, and educational backgrounds.…

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David Kaplan
Biomedical Research Data in the Age of AI

Preface.- Chapter One Original Data.- Chapter Two Data Quality.- Chapter Three Data Collection.- Chapter Four Data Analysis.- Chapter Five Aesthetics of Data.- Chapter Six Erroneous Data.- Chapter Seven D…

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Despina Karagkioulmezi
Analyse von Kundenrezensionen in der Telekommunikationsbranche

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.Hierbei wird al…

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Jens Kärcher
Untersuchung von Machine-Learning-Verfahren zur Lösung von Losgrößenproblemen

Produktion und Logistik

Für viele NP-schwere Losgrößenprobleme stehen diverse Heuristiken zur Verfügung, die je nach Eigenschaft der Instanz unterschiedliche Lösungsqualitäten und Rechenzeiten aufweisen. Mit zunehmender Problemg…

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Nicholas Kelly
The AI-driven Data Team

Rapidly transform your analytics teams to deliver AI-driven insights.The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capab…

lieferbar ab 3.7.2026.

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Haesik Kim
Artificial Intelligence in the 6G Ecosystem

This textbook provides knowledge of artificial intelligence (AI), wireless communications, and cellular networks. It covers AI techniques such as unsupervised learning, supervised learning, reinforcement …

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Ronald T. Kneusel
Practical Deep Learning

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as de…

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Parisa Kordjamshidi, Marie-Francine Moens, James Pustejovsky
Spatial Language Understanding

Synthesis Lectures on Human Language Technologies

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors addr…

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Marc Kriesten
Künstliche Intelligenz in der Apotheke

Die Zukunft beginnt jetzt! Künstliche Intelligenz ist faszinierend und längst im Apothekenalltag angekommen. Unsicherheiten rund um Datenschutz und rechtliche Vorgaben sorgen jedoch oft dafür, dass sie nu…

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N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Machine Learning for Materials Discovery

Machine Intelligence for Materials Science

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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