Machine Learning For Labeling – alle Bücher und CDs

Archon

Roberto Alonso (Violine), Christian Smith (Schlagzeug)

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Machine Learning for Networking

This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2--4, 2025.The 14 full papers presen…

lieferbar ab 24.5.2026.

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 15540

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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John Paul Mueller, Luca Massaron
Machine Learning For Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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Christophe Gaillac, Jeremy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

lieferbar in mind. 4 Wochen

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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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Jen-Tsung Chen
Machine Learning for Plant Biology

A comprehensive and current summary of machine learning-based strategies for constructing digital plant biologyMachine Learning for Plant Biology provides a comprehensive summary of the latest development…

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Machine Learning Platform Engineering

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Deliveri…

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Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan
Machine Learning for Wireless Communication

Synthesis Lectures on Communications

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement le…

lieferbar innerhalb 2-3 Wochen

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N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Machine Learning for Materials Discovery

Machine Intelligence for Materials Science

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

lieferbar in mind. 4 Wochen

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Zafar Said
Machine Learning for Sustainable Energy Solutions

Comprehensive insights into integrating modern engineering techniques with machine learning and renewable energy to create a more sustainable worldThrough an interdisciplinary approach, Machine Learning f…

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Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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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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Mashallah Rezakazemi, Kiran Mustafa, Rao Muhammad Mahtab Mahboob
Machine Learning for Membrane Separation Applications

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As…

lieferbar in mind. 4 Wochen

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Philosophy of Science for Machine Learning

This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about…

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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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Machine Learning for Drone-Enabled IoT Networks

Advances in Science, Technology & Innovation

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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