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Luca Massaron, John Paul Mueller
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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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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Machine Learning for Networking

Lecture Notes in Computer Science - Band 16424

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…

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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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Machine Learning for Cyber Security

Lecture Notes in Computer Science - Band 16456

This book constitutes the proceedings of the 7th International Conference on Machine Learning for Cyber Security, ML4CS 2025, which taking place during December 12-14, 2025 held in Hangzhou, China.The 18 …

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Machine Learning for Astrophysics 2024

This proceedings book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed …

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Yan Jin
Machine Learning for Engineering Applications

The book begins by presenting the necessary mathematical foundations in an accessible, engineering-centered way and then builds up machine learning (ML) concepts step by step, always linking them to engin…

lieferbar ab 28.10.2026.

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Machine Learning for Radar Signal Processing

Machine Learning for Radar Signal Processing (authored by Yujie Gu and Yimin D. Zhang) is an engineering reference book that explains how to integrate data-driven machine learning models into classical ra…

lieferbar ab 14.12.2026.

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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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IoT and Machine Learning for Smart Applications

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine lea…

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Oscar Mauricio Caicedo Rendon
Machine Learning for Network Management

Textbooks in Telecommunication Engineering

This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases …

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Ankur Awadhiya
Concepts of Machine Learning for Life Sciences

Machine learning touches our lives in quiet and remarkable ways. It helps doctors detect illnesses sooner by recognizing subtle patterns in scans and helping them make sense of medical data with speed, ju…

lieferbar ab 7.12.2026.

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Marcos M. López de Prado
Machine Learning for Asset Managers

Elements in Quantitative Finance

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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Artificial Intelligence and Machine Learning for Sustainable Development

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the f…

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Machine Learning for Disease Detection, Prediction, and Diagnosis

The book "Machine Learning for Disease Detection, Prediction, and Diagnosis" can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability …

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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few deca…

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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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Martin Bajus
Artificial Intelligence and Machine Learning for Hydrocarbon Technologies

Apply AI and machine learning across the hydrocarbon value chainAs refineries transition toward intelligent, low-carbon operations, engineers need integrated guidance on deploying AI across hydrocarbon pr…

lieferbar ab 25.2.2027.

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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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Internet of Things enabled Machine Learning for Biomedical Applications

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes…

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