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The Wall Street Journal mentioned yesterday (3/24/2014) that a research firm tracks Twitter “chatter” to see if the amount and quality of tweets can predict stock movement. The article finished with the comment that this kind of analysis is only for savvy “large” investment firms and hedge funds.

Humbug! Individual investors can also do this too – especially if they know F#!

This session will be a hands-on workshop where we will learn the basics of F# while working on two machine learning techniques. We will build a basic classifier to organize twitter data and then a basic predictor to see if tweets can move stock prices.

This workshop is a hand-on lab so bring a laptop with VS2010+ installed. No prior experience of F# or statistics will be assumed.

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