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Machine Learning for Temporal Data in Finance: Challenges and Opportunities
Temporal data are ubiquitous in the financial services (FS) industry -- traditional data like economic indicators, operational data such as bank account transactions, and modern data sources like website clickstreams -- all of these occur as a time-indexed sequence.
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification
Recent research has helped to cultivate growing awareness that machine learning systems fueled by big data can create or exacerbate troubling disparities in society.
Explaining Classification Models Built on High-Dimensional Sparse Data
We evaluate these alternatives in terms of explanation "bang for the buck,", i. e., how many examples' inferences are explained for a given number of features listed.
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