This blog post provides highlights and a full written transcript from the panel, “Data Science Versus Engineering: Does It Really Have To Be This Way?” wit
Regulation is slow and Big Tech has its own interests, so it’s up to us to understand what we opt in to
The question for an aspiring Mario Kart champion nowadays is “How can I pick a character / kart / tire combination that is in some sense optimal, even if there isn’t one ‘best’ option?”
By Henry Hinnefeld
Programs must be written for people to read, and only incidentally for machines to execute.
Machine learning is complex. For newbies, starting to learn machine learning can be painful if they don’t have right resources to learn…
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
In many Latin American countries, census data on race and skin color are scarce or nonexistent. In this study, we contribute to understanding how skin color affects intergenerational social mobility in Mexico. Using a novel data set, we provide evidence of profound social stratification by skin color, even after controlling for specific individual characteristics that previous work has not been able to include, such as individual cognitive and noncognitive abilities, parental education and wealth, and measures of stress and parenting style in the home of origin. Results indicate that people in the lightest skin color category have an average of 1.4 additional years of schooling and 53 % more in hourly earnings than their darkest-skinned counterparts. Social mobility is also related to skin color. Individuals in the darkest category are 20 percentile ranks lower in the current wealth distribution than those in the lightest category, conditional on parental wealth. In addition, results of a quantile regression indicate that the darkest group shows higher downward mobility.