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Session 5 - Data Crunchers with Betty Hurley-Dasgupta & Marj Robison
Betty Hurley-Dasgupta and Marj Robison are basing this seminar on the book written by Ian Ayres in 2007, called Super Crunchers.” In this book, he talks about the “art of quantitative prediction” through the analysis of large data sets. So much of what we do these days is recorded and, with improved computer systems and software, this information can be used to gain impressive insights. In fact, Ian suggests that data crunching can provide better predictions than experts in the area.
During the session, we’ll provide some examples to demonstrate how data crunching works. We’ll discuss some of the underlying mathematics, including techniques for randomization and a common statistical technique for prediction. And, we’ll introduce some questions that Ian raises about data crunching.
One does not need to have read the book to participate in this seminar. However, we do suggest watching some of the videos listed in the resource area.
Reading, Viewing and Listening Materials
- Thursday, 15 November : Live Session: Location: Blackboard
- sesson preview HERE http://www.youtube.com/watch?v=fvEkmXWAH1E&feature=youtu.be
- Recorded session HERE https://sas.elluminate.com/p.jnlp?psid=2012-11-15.0557.M.781C5F851C542973E43667095023AD.vcr&sid=2012301
- You Tube Recording
Time:8:00 p.m. Moscow; 5:00 p.m. London; 12 noon New York; 9:00 a.m. Los Angeles; midnight Thursday Beijing
Ask 10 people the following question: boxers or briefs? (either what you wear or what you like men to wear)
Tweet your answers to #underpoll. After 5 days, search for #underpoll, collect the data and make a graph. Are you surprised?