Thema Maschinelles Lernen – alle Bücher, Seite 6

Massimiliano Salerno
Social Media Is Dead

Social media didn't die overnight - it died slowly, while no one was paying attention. And now AI has finished the job.While the world is drowning in synthetic content, cloned personalities, fake engageme…

lieferbar innerhalb 2-3 Wochen

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Massimiliano Salerno
Social Media Ist Tot

In diesem Moment flutet Künstliche Intelligenz das Internet mit Millionen von Texten, Bildern und Videos - produziert in Sekunden, perfekt formuliert, perfekt geschnitten ... und perfekt fake.Das Ergebnis…

lieferbar innerhalb 2-3 Wochen

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Fernando Sansò, Alberta Albertella
The Probabilistic Vision of the Physical World

Probability and Frequency.- 2. The Sources of Stochasticity.- 3. Statistical Inference: The Theory of Estimation.- 4. Statistical Inference: Model Verification.- 5. Finite vs Infinite, Discrete vs Continu…

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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…

lieferbar innerhalb 2-3 Wochen

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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 ab 7.5.2026.

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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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Roshan Srivastav, Purna C. Nayak
Applications of Machine Learning in Hydroclimatology

The Springer Series in Applied Machine Learning

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. Th…

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Predrag S. Stanimirovi¿, Yimin Wei, Shuai Li, Dimitrios Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

Background Information.- 2 Gradient Neural Network (GNN) and their Modifications.- 3 Zeroing Neural Network (ZNN).- 4 From iterations to ZNNs and vice versa, 5 Modified ZNN dynamical systems.

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Du¿an Stipanovi¿
Difference Equations and Machine Learning

Synthesis Lectures on Mathematics & Statistics

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

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Jian-Qiao Sun
Random Vibration with Machine Learning Method

The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first b…

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Gaurav Suri, Jay McClelland
The Emergent Mind

As heard on BBC Radio 4 Start the Week A New Scientist Best Book of the Year A Next Big Ideas ClubBook of the Year'Excellent' - Geoffrey Hinton, the 'godfather of AI' and Nobel laureate in Physics 'An ind…

lieferbar in mind. 4 Wochen

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Joe Suzuki
Graphical Models and Causal Discovery with R

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical…

lieferbar ab 6.5.2026.

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Gero Szepannek
Grundprinzipien des maschinellen Lernens

Was steckt hinter den Algorithmen der künstlichen Intelligenz?Künstliche Intelligenz und maschinelles Lernen halten zunehmend Einzug, in betrieblichen Anwendungen wie in der Forschung. Nicht alle Anwender…

lieferbar ab 1.7.2026.

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Xiaoming Tao, Yiping Duan, Zhijin Qin, Danlan Huang
Wireless Multimedia Computational Communications

Wireless Networks

This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods. It offers readers an in-depth understanding of how computational resources …

lieferbar innerhalb 2-3 Wochen

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Jakub M. Tomczak
Deep Generative Modeling

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models…

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Sven Truderung
Das Turing-Paradoxon

In einer nahen Zukunft scheint der Menschheit endlich das Unmögliche gelungen zu sein: Weltweiter Frieden. Es gibt keine Kriege mehr, keine diplomatischen Eklats, keine Hassrede in den sozialen Medien. Do…

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Leslie Valiant
The Importance of Being Educable

Why you should worry less about AI and more about what makes us humanWe are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creating, we …

lieferbar ab 19.5.2026.

Buch

Jordi Vallverdú
Prompting Causal Events

SpringerBriefs in Intelligent Systems

Prompting marks a paradigmatic shift in how we engage with artificial intelligence---transforming static interfaces into dynamic conversations, reshaping the relationship between user intent, system behav…

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

BestMasters

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Zhe Wang, Chao Pu, Felice Wang
Deep Learning Recommender Systems

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to g…

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