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Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering.
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their... Læs mere
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their... Læs mere
This Element argues that during parole hearings, parole actors conduct complex forms of moral labor. This moral labor goes beyond rehabilitation and risk... Læs mere
This Element argues that during parole hearings, parole actors conduct complex forms of moral labor. This moral labor goes beyond rehabilitation and risk... Læs mere
Presents thirty-one chapters that provide a survey of models and methods for reliability analysis and applications in science,... Læs mere
This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms.