Data science strives to build applications that help solve modern, complex business problems. Often these problems requires solutions that scale through the use of distributed, parallel computing. However, a lot of our known techniques do not seem to directly scale using these techniques. This post discusses how we can take advantage of the Central Limits Theorem to scale some of our more advanced analysis tools.

Recently I saw that the weather in my home state of Minnesota was colder than the average surface temperature on Mars (as measured by the curiosity rover).