Thema Maschinelles Lernen – alle Bücher, Seite 7

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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Yanghui Rao, Qing Li
Topic Modeling

Machine Learning: Foundations, Methodologies, and Applications

As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural …

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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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Jingli Ren, Yiwen Tao
Modeling in Life Sciences and Ecology

This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches. While primarily tailored as an introdu…

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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

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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Elmar Rueckert
Data Modeling

This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analy…

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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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Claudia Scherl, Uli Schell
Machine Learning in Health Care

How do you teach computers to learn from data?This hands-on introduction uses numerous realistic examples from the field of health care to convey the basics and the various methods of machine learning wit…

lieferbar ab 10.12.2026.

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Claudia Scherl, Uli Schell
Machine Learning in Health Care

How do you teach computers to learn from data?This hands-on introduction uses numerous realistic examples from the field of health care to convey the basics and the various methods of machine learning wit…

lieferbar ab 10.12.2026.

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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…

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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 11.1.2027.

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Liyu Shao, Qin Chen, Min He
AI in Banking

Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generat…

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Christian R Shelton
Introduction to Machine Learning

Aimed at undergraduate students, this text guides readers through the methods and principles of machine learning in an approachable manner without sacrificing mathematical precision or notation. Step-by-s…

lieferbar ab 31.10.2026.

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Yue Song, Thomas Anderson Keller, Nicu Sebe, Max Welling
Structured Representation Learning

Synthesis Lectures on Computer Vision

This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of …

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