Zion Tech Group

Tag: Subramanya

  • GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya

    GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya



    GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya

    Price : 63.95

    Ends on : N/A

    View on eBay

    Graph-based semi-supervised learning is a powerful technique that leverages the relationships between data points to make predictions on unlabeled data. In his comprehensive synthesis lecture, Amarnag Subramanya delves into the intricacies of this method, providing a thorough overview of the principles, algorithms, and applications in the field.

    This lecture is essential for anyone looking to deepen their understanding of semi-supervised learning and its practical implications. Subramanya’s expertise shines through as he breaks down complex concepts into easily digestible pieces, making this a valuable resource for researchers, practitioners, and students alike.

    Whether you’re new to the world of semi-supervised learning or looking to expand your knowledge, this synthesis lecture is a must-read. Dive into the world of graph-based semi-supervised learning with Amarnag Subramanya and unlock its full potential in your own projects.
    #GRAPHBASED #SEMISUPERVISED #LEARNING #SYNTHESIS #LECTURES #Amarnag #Subramanya

  • GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya

    GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya



    GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya

    Price : 63.95

    Ends on : N/A

    View on eBay
    Graph-based semi-supervised learning is a powerful technique that leverages the relationships between data points to make predictions on unlabeled data. In his book “Graph-Based Semi-Supervised Learning” author Amarnag Subramanya dives deep into this topic, providing a comprehensive overview of the theory and applications of this approach.

    This synthesis lecture covers the fundamentals of graph-based semi-supervised learning, including graph construction, label propagation, and graph regularization. Subramanya also explores advanced topics such as deep learning on graphs, graph convolutional networks, and graph neural networks.

    Whether you are a seasoned machine learning practitioner or just starting out, this book is a valuable resource for understanding and implementing graph-based semi-supervised learning techniques. Stay ahead of the curve and check out Amarnag Subramanya’s “Graph-Based Semi-Supervised Learning” today!
    #GRAPHBASED #SEMISUPERVISED #LEARNING #SYNTHESIS #LECTURES #Amarnag #Subramanya

Chat Icon