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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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Distributed Machine Learning and Gradient Optimization

in the field of machine learning, artificial intelligence, big data and database management.;

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Graph-Powered Machine Learning

in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms;

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Machine Learning, Optimization, and Data Science

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data;

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Machine Learning, Optimization, and Data Science

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data;

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Advanced Machine Learning Technologies and Applications

Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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Recent Advances in Artificial Intelligence and Data Engineering

, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge;

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Data Science Solutions with Python

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Web and Big Data

mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications;

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Web and Big Data

mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Advances in Databases and Information Systems

from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data;

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Data Intensive Industrial Asset Management

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Proceedings of International Joint Conference on Computational Intelligence

, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and;

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Proceedings of International Conference on Big Data Machine Learning and Applic

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;

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Big Data Analytics for Cyber-Physical Systems

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways;

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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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Artificial Intelligence Algorithms and Applications

control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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