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

Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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

Wireless Networks

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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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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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 27.6.2026.

Buch

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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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…

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

Springer Undergraduate Texts in Mathematics and Technology

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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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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Milind Sharma
The Quantamental Revolution

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

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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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Maria Vechtomova
MLOps with Databricks

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provi…

lieferbar ab 29.9.2026.

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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The secon…

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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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Dario Cabianca
AWS Certified Machine Learning Engineer Study Guide

Sybex Study Guide

Prepare for the AWS Machine Learning Engineer certification exam quickly and efficientlyThe AWS^®^ Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the …

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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.

Buch

Marcos M. Lopez 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…

lieferbar in mind. 4 Wochen

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