This talk is intended to explain how we can use tools coming from financial modeling in user-based models. These techniques are especially useful in the situation where the underlying signals are weak and we can’t expect a truly accurate model, which is mostly the case when forecasting the stock market.
Cathy O’Neil a data scientist for the startup media company Intent Media. Cathy began her career as a postdoc in MIT’s Math department. She has been a professor at Barnard College, where she published a number of research papers in arithmetic algebraic geometry, worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis and for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. Cathy holds a PhD in math from Harvard.
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