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  • Machine Learning: Theory and Practice

    "Machine Learning is a cutting-edge branch of Artificial Intelligence that has brought forth exciting new technological advances in recent years. This book introduces this important topic of current interest while also explaining its practical applications. Aimed at graduate students, teachers and researchers, this book will also help practitioners in implementing ML algorithms.This book explores ... Read more

    $31.00 USD

  • Representation in Machine Learning

    Series series Computer Science (R0)
    This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions ... Read more

    $53.99 USD

  • Machine Learning in Social Networks

    Embedding Nodes, Edges, Communities, and Graphs

    Series series Computer Science (R0)
    This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as they ... Read more

    $62.99 USD

  • Centrality and Diversity in Search

    Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

    Series series Computer Science (R0)
    The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.The text is designed to be ... Read more

    $49.49 USD

  • Support Vector Machines and Perceptrons

    Learning, Optimization, Classification, and Application to Social Networks

    Series series Computer Science (R0)
    This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight ... Read more

    $49.49 USD