Sökning: "Rohit Saluja"

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  1. 1. Interpreting Multivariate Time Series for an Organization Health Platform

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rohit Saluja; [2020]
    Nyckelord :Interpretability; Forecasting; Local interpretable model-agnostic explanations; Shapley additive explanations; Time series; Explainable artificial intelligence; Tolkbarhet; Prognoser; Lokala tolkningsbara modell-agnostiska förklaringar; Shapley additiva förklaringar; Tidsserier; Förklarbar artificiell intelligens;

    Sammanfattning : Machine learning-based systems are rapidly becoming popular because it has been realized that machines are more efficient and effective than humans at performing certain tasks. Although machine learning algorithms are extremely popular, they are also very literal and undeviating. LÄS MER