Machine Learning And Deep Learning – Bücher, CDs, LPs und mehr, Seite 7

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…

lieferbar ab 12.11.2025.

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Jason Edwards
Adversarial Machine Learning

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromisedAdversarial Machine Learning is a definitive guide to one of the most urgent chal…

lieferbar ab 15.1.2026.

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Le Liang, Shi Jin, Hao Ye
Wireless Communications and Machine Learning

This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 2…

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Constrained Control and Machine Learning

Internet of Things

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. Th…

lieferbar ab 13.12.2025.

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Zhijin Qin, Xiaoming Tao, Huiqiang Xie, Zhenzi Weng
Deep Learning Enabled Semantic Communications

Comprehensive overview of the principles, theories, and techniques behind deep learning-enabled semantic communicationsDeep Learning Enabled Semantic Communications explores the synergy between deep learn…

lieferbar ab 26.11.2025.

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Zuxuan Wu, Yu-Gang Jiang
Deep Learning for Video Understanding

This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spati…

lieferbar innerhalb 2-3 Wochen

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Dubnov Shlomo
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics…

lieferbar ab 7.11.2025.

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Reinhard Heckel
Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusse…

lieferbar innerhalb 1-2 Wochen

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Dubnov Shlomo
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

lieferbar innerhalb 2-3 Wochen

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

lieferbar ab 31.10.2025.

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

lieferbar ab 31.10.2025.

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Hybrid Intelligent Systems

This book presents 48 selected papers focused on Large Language Models and Machine Learning from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities na…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Machine Learning Applications for Intelligent Energy Management

As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, …

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Parteek Bhatia
Machine Learning with Python

"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intellig…

lieferbar ab 30.9.2025.

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

lieferbar ab 20.10.2025.

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Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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