The playoffs being what they are, we knew that only one team -- and its fans -- would actually be happy when the whole thing was over. So what did the Tigers and all the other "losers" (and yes, that includes the Yankees) learn from the playoffs?
Grab a mass of data, like the 2011 baseball season's results. How can you glean useful information from all the numbers? This question sits squarely in the field of data mining, which is the science of extracting useful information from large sets of data.
Moneyball is about baseball. But it is about baseball about as much as The Social Network is about building a website -- not very much. And as someone who doesn't like baseball, I absolutely loved it.
Michael Lewis' book, Moneyball, was a sports thriller disguised as a nonfiction volume about statistics wonks. And Bennett Miller's film of Thomas' bo...
The question shouldn't be, "What are the limits of Moneyball?"; it should instead be "How can we use a Moneyball-type approach to help make better decisions in all facets of sports?"
Were I stripped of my fantasy teams, were I to possess nothing in the way of team allegiance, were I, in fact, to wake up in a roadside ditch, I would probably wake up thinking about baseball.
As a fan, I sense a growing rift in the way baseball is discussed and appreciated -- those who hail the system of analytical tools as a godsend are younger, while those who decry it as hogwash are older.
Serial entrepreneur Penny Hersher worries about a talent-retention challenge if Wall Street eschews bonuses this year. In response to a Bloomberg arti...