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A Causal Approach for Business Optimization: Application on an Online Marketplace
In this work we propose using causal inference to estimate the effect of contacting each potential customer and setting the contact policy accordingly.
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes
Data science has the potential to improve business in a variety of verticals.
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees
Positivity is one of the three conditions for causal inference from observational data.
Majority Voting and the Condorcet's Jury Theorem
There is a striking relationship between a three hundred years old Political Science theorem named "Condorcet's jury theorem" (1785), which states that majorities are more likely to choose correctly when individual votes are often correct and independent, and a modern Machine Learning concept called "Strength of Weak Learnability" (1990), which describes a method for converting a weak learning algorithm into one that achieves arbitrarily high accuracy and stands in the basis of Ensemble Learning.
