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Book Synopsis

Measuring discrimination in decision making algorithms an approach based on causal inference.- Leveraging Social Network Analysis for Semantic Differential Scale: An application to Survey Data.- Extending the Boosted Oriented Probabilistic Clustering to the Unit Hypersphere A Textual Data Perspect.- Understanding ESG Scores Through Network Analysis A Study Using Graph Neural Networks.- Innovative applications of Supervised Learning in addressing missing Data a case study on social surveys.- ISP Index A Parsimonious Method to Predict Defaults.

Supervised and Unsupervised Statistical Data Analysis

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Order before 4pm tomorrow for delivery by Sat 20 Dec 2025.

A Paperback by Antonio D'Ambrosio

15 in stock


    View other formats and editions of Supervised and Unsupervised Statistical Data Analysis by Antonio D'Ambrosio

    Publisher: Springer
    Publication Date: 9/27/2025
    ISBN13: 9783032030412, 978-3032030412
    ISBN10: 3032030412
    Also in:
    Probability and statistics

    Description

    Book Synopsis

    Measuring discrimination in decision making algorithms an approach based on causal inference.- Leveraging Social Network Analysis for Semantic Differential Scale: An application to Survey Data.- Extending the Boosted Oriented Probabilistic Clustering to the Unit Hypersphere A Textual Data Perspect.- Understanding ESG Scores Through Network Analysis A Study Using Graph Neural Networks.- Innovative applications of Supervised Learning in addressing missing Data a case study on social surveys.- ISP Index A Parsimonious Method to Predict Defaults.

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