Thema Maschinelles Lernen – alle Bücher, Seite 5

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…

lieferbar innerhalb 2-3 Wochen

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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…

sofort lieferbar

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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…

lieferbar innerhalb 2-3 Wochen

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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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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…

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Massimiliano Salerno
Social Media Ist Tot

Die Frage, die du vermeidestWann hast du das letzte Mal durch Social Media einen echten Kunden gewonnen? Nicht Likes. Nicht Reichweite. Einen zahlenden Menschen.Wenn du ehrlich bist, weisst du es nicht me…

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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…

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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

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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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 27.6.2026.

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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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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.

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