"Upfront pricing has been enabling the company to raise rider fares and cut driver pay on billions of rideshare trips, systematically, selectively, and opaquely."
In comparing the replication data analysis to the original study, we noted a significant decrease in effectiveness, from close to 60% to nearly 40%, indicating potential variability in treatment outcomes.
The computational challenge in Gaussian Process regression largely stems from the need to efficiently handle the inverse of the covariance matrix, which can be addressed through various approximation methods.
In the season just gone, compared to the 2019-20 season, there were more passes per game, a higher percentage of passes completed and fewer forward passes, suggesting an evolution in football philosophy.
The study emphasizes the importance of selecting feature selection techniques that exhibit low sensitivity to data size while ensuring high predictive performance, particularly in small datasets.
The NOAA database is the gold standard we use to evaluate the costs of extreme weather... And it's a major loss, since it comes at a time when we need to better understand how much climate change is increasing disaster losses.