Thema Maschinelles Lernen – alle Bücher, Seite 5

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…

lieferbar ab 30.4.2026.

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

Chapter 1 Introduction.- Chapter 2 Jama'at Nasr al-Islam wal Muslimin (JNIM).- Chapter 3 Temporal Probabilistic Rules and Policy Computation Algorithms.- Chapter 4 Abduction and Release of Abductees.- Cha…

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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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Lisette Nieves, Noel S. Anderson, Becca Huntting
Working for a Future

This book builds on the success of "Working to Learn" (Palgrave Macmillan, 2020) by focusing on the future of work and how young people, especially low-income young people and young people of co…

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Gerhard Paaß, Dirk Hecker
Artificial Intelligence

Preface.- About the Authors.- 1. What Is Intelligent About Artificial Intelligence?.- 2 What Are the Capabilities of Artificial Intelligence?.- 3. Some Basic Concepts of Machine Learning.- 4. Deep Learnin…

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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…

lieferbar ab 4.4.2026.

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

Umfassender Überblick über die verschiedenen Anwendungsbereiche von Data Science und KI Fallbeispiele aus der Praxis Praktische Beispielen, die Ihnen helfen, einfache Datenanalyseprojekte durchzuführen Ne…

lieferbar ab 12.6.2026.

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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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Quinn
The Power of Recognizing Intent: From Social Skills to AI Safety

Human interaction hinges on our ability to understand the intent behind words and actions. A seemingly innocuous statement can take on a hostile or playful tone depending on the speaker's intent. Likewise…

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Zhiwei Qin (Tony), Xiaocheng Tang, Qingyang Li, Hongtu Zhu
Reinforcement Learning in the Ridesharing Marketplace

This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics…

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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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Amir Masoud Rahmani, Atefeh Hemmati, Fatemeh Bazikar, Hossein Moosaei
Optimization Techniques for Deep Learning

Springer Optimization and Its Applications

This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By…

lieferbar ab 27.4.2026.

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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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Brian Roark, Richard Sproat, Su-Youn Yoon
Tools of the Scribe

People all around the world now carry out nearly synchronous conversations using text. This puts a premium on efficient writing, something that is easier in some writing systems than others and for some i…

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Kunal Roy, Arkaprava Banerjee
Activity Cliffs

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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Hermann Selchow
Is man still relevant? A provocation (Extended Version)

Is man still relevant? A provocation - technological evolution and human existenceThe world is changing rapidly - algorithms are making decisions, machines are taking on tasks that were once reserved for …

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