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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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Recent Trends in Analysis of Images, Social Networks and Texts

natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and;

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Security in IoT Social Networks

>Includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Analysis of Images, Social Networks and Texts

This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST;

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Hands-on Machine Learning with Python

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It;

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Broad Learning Through Fusions

introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network;

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Broad Learning Through Fusions

introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network;

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Hands-on Machine Learning with Python

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It;

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Engineering Applications of Neural Networks

and selected from 39 submissions. The papers are organized in topical sections on activity recognition, deep learning, extreme learning;

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Statistical and Machine Learning Approaches for Network Analysis

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches;

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Advances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new;

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Introduction to Machine Learning

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Machine Learning in Social Networks

This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing;

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Machine Learning for Future Fiber-Optic Communication Systems

Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning;

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Fundamentals Of Deep Learning

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving;

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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Introduction to Machine Learning with Applications in Information Security

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a;

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TensorFlow For Dummies

Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the;

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