Baseball, Big Data, And Learnings From Advanced Analytics

Baseball, Big Data, And Learnings From Advanced Analytics

Analyzing the massive explosion of baseball information capitalizes on a growing trend toward “big data,” the tools and processes to harness insights found in gigantic data sets. A project to uncover Twitter sentiment around the 2011 post-season play provided an example of how the sheer amount of information need not outstrip our capacity to manage or access it in useful ways.

Learn by Doing: Get Faster Every Lap

Learn by Doing: Get Faster Every Lap

Automobile racing draws more spectators than any other sport. It’s not because of the danger, although the prospect of a crash certainly holds the crowd’s interest. What brings people out, time and again, is the simple demonstration that “he who learns fastest wins, but winning once does not guarantee winning again.” The spectators as well as the drivers understand that principle intellectually, emotionally, and viscerally. Although most spectators do not apply that rule in their own lives after they leave the track, the winners do, 24 hours a day, until the next race. They exemplify the difference between learning by watching, learning by miming, and learning by doing.