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…

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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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Aaron M. Roth, Dinesh Manocha, Ram D. Sriram, Elham Tabassi
Explainable and Interpretable Reinforcement Learning for Robotics

Introduction.- Classification System.- Explainable Methods Organized by Category.- 4 Key Considerations and Resources.- Opportunities, Challenges, and Future Directions.

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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

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…

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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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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 24.5.2026.

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Terrence 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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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

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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Richard Susskind
How To Think About AI

Revealing the unfolding story of Artificial Intelligence, Richard Susskind presents a short non-technical guide that challenges us to think differently about AI. Susskind brings AI out of computing labora…

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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 5.4.2026.

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

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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