Today is different. Perhaps it’s because mostly old people are dying from COVID-19, rather than children. Or maybe it’s because of how fractious our times are now and the enormous anger toward “elites” or anyone in charge that’s built up over the decades, as we broke trust over ...
we ultimately care less about hypothesis testing but more about prediction. We demand that a model trained on a set of training data also performs well if we apply it to new observations not contained in our previous training set, i.e., helps with the right diagnosis...
Some of the use cases Spark is well suited for include credit card fraud analytics, network fault prediction, security threats, IoT sensor analytics, machine data analytics, integrated complex analytics with interactive applications, sentiment analytics on social media data...