Machine Learning For Labeling – alle Bücher und CDs

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Roberto Alonso (Violine), Christian Smith (Schlagzeug)

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Machine Learning for Networking

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

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…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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

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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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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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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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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Quantum Computing and Machine Learning for 6g

Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary…

lieferbar ab 1.7.2026.

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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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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 Econometrics and Related Topics

In the last decades, machine learning techniques - especially techniques of deep learning - led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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