Machinelearning, – Bücher, LPs, CDs und mehr, Seite 5

Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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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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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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Yuhan Kang, Hao Gao, Zhu Han
Mean Field Guided Machine Learning

Wireless Networks

Preface.- Chapter 1 Overview of Mean Field Theory and Machine Learning.- Chapter 2 Mean Field Game and Machine Learning Basis.- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial N…

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Baris Aykent
Machine Learning Techniques to Solve Mechanical Vibration Problems Using Python

Studies in Systems, Decision and Control

Machine vibrations hold the secrets to its health, but how do you translate their complex language into actionable, predictive intelligence? As modern industry demands unprecedented levels of reliability …

lieferbar ab 11.5.2026.

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Machine Learning in Nanoelectronics

Bridge the gap between advanced algorithms and hardware innovation with this essential book, which details how machine learning is being used to overcome challenges in nanoelectronics while laying the cri…

lieferbar ab 6.4.2026.

Buch

Measurement, Automation, and Control in Artificial Intelligence and Machine Learning

Introduction.- Historical Evolution of Process Automation.- IoT in Industrial Process Control.- Machine Learning and AI in Automation.- Cybersecurity for Automated Processes.- Sustainability and Environme…

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Mohamed El-Geish, Shabaz Patel, Anand Sampat
Shipping Machine Learning Systems

This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often…

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:The basics of probability and statistics: These chapters focus on th…

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Sanad Aburass, Ibrahim Aljarah
Classical Machine Learning

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation sy…

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Automated Machine Learning and Industrial Applications

The book provides a comprehensive understanding of Automated Machine Learning's transformative potential across various industries, empowering users to seamlessly implement advanced machine learning solut…

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Marcos M López de Prado
Machine Learning for Asset Managers

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should conce…

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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5…

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Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated t…

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Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode …

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

Studies in Systems, Decision and Control - Band 550

This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized variou…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar ab 31.5.2026.

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Crowd Dynamics, Volume 5

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

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