Thema Maschinelles Lernen – alle Bücher, Seite 6

Francesco Nappo, Giovanni Valente
Analogical Reasoning in 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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Hanna K. Nencka, Noemie C. Combe, Philippe G. Combe
Exploring Information Geometry

Frontiers in Mathematics

This book offers a clear and accessible pathway into information geometry for advanced undergraduate and graduate students. Readers will be guided from the fundamentals of topology and differentiable mani…

lieferbar ab 25.8.2026.

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Pedro Oliveira, João Da Cruz Pereira, Paulo Novais
Architectures for Agentic AI

SpringerBriefs in Intelligent Systems

This book explores the emerging paradigm of Agentic AI, where Large Language Models (LLMs) and Reinforcement Learning (RL) converge to create intelligent, autonomous, and adaptive systems. It provides a u…

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David Pacheco Aznar, Esteban Vanegas, Miquel Noguer I Alonso
Large Language Models

This book provides a technically rigorous yet accessible guide to Large Language Models (LLMs), charting their evolution from academic research projects into critical infrastructure for industries as dive…

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Stefan Papp, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Bietet einen umfassenden Überblick über die verschiedenen Anwendungsbereiche von Data Science und KIMit Fallbeispielen aus der Praxis, um die beschriebenen Konzepte greifbar zu machenMit praktischen Beisp…

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Scott A. Pardo
Beyond the T-Test

This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It …

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Giorgio Picci
An Introduction to Statistical Data Science

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aime…

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Timon Rabczuk, Cosmin Anitescu, Somdatta Goswami, Xiaoying Zhuang
Scientific Machine Learning with Engineering Applications

Studies in Systems, Decision and Control - Band 667

This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established…

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Ognjen Radi¿i¿-Aberger
Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning

Adaptation and change are imperative for products and companies to remain competitive. Managing these changes, however, is increasingly difficult and requires thorough planning and management. Especially …

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Muthu Ramachandran
Guide to AI for Cybersecurity

Texts in Computer Science

With ransomware attacks predicted every two seconds by 2031 and 91% of successful cyberattacks beginning with social engineering, organizations face existential threats that demand AI-powered defenses int…

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Muthu Ramachandran
Guide to AI for Cybersecurity

Texts in Computer Science

With cybercrime costs exceeding $10.5 trillion annually and ransomware attacks predicted every two seconds by 2031, traditional signature-based security has reached critical breaking points. Guide to AI f…

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

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Sebastian Raschka,
Large Language Models selbst programmieren

LLMs selbst erstellen und von Grund auf verstehen!Der Bestseller aus den USA jetzt in deutscher Übersetzung der ideale Einstieg in das Thema Large Language ModelsAuf dem eigenen Laptop entwickeln, trainie…

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Ehud Reiter
Natural Language Generation

In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sec…

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Kunal Roy, Arkaprava Banerjee
Activity Cliffs

SpringerBriefs in Molecular Science

This brief introduces the readers of predictive cheminformatics to the concept of cliffs in the structure-activity landscape, which may greatly affect the data set modelability and the quality of predicti…

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Massimiliano Salerno
Social Media Ist Tot

Die ungeschminkte Wahrheit? Für 0,47% funktioniert Social Media. Alex Hormozi. Gary Vee. Steven Bartlett. Ja - für sie ist Social Media ein Hebel.Aber nicht, weil Social Media sie "gemacht" hat.…

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Carl René Sauer
Human-AI Collaboration in Production Management

Findings from Production Management Research

The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human de…

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Thomas Schmid, Wolfgang Hildesheim, Taras Holoyad
Managing and Understanding Artificial Intelligence: From Classical to Generative AI

Artificial Intelligence (AI) is taking over the world, becoming an essential part of our daily lives. Self-driving cars, medical diagnoses, robotic processes, chatbots, and urban planning are just a few e…

lieferbar in mind. 4 Wochen

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Terrence J. Sejnowski
The Deep Learning Revolution

How deep learning---from Google Translate to driverless cars to personal cognitive assistants---is changing our lives and transforming every sector of the economy.The deep learning revolution has brought …

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Kristina Sekrst, Sandro Skansi
Introduction to Deep Learning

Undergraduate Topics in Computer Science

This textbook introduces deep learning in a style that is accessible, rigorous, and grounded in working code. It walks through the most widely used algorithms and architectures step by step, with mathemat…

lieferbar ab 8.8.2026.

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