Data mining Finance Modeling Uncertainty 
Smart Data Collective
MARCH 2, 2023
However, there are even more important benefits of using big data during a bad economy. As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. They can use data mining tools to evaluate the average interest rate of different lenders.
O'Reilly on Data
JANUARY 22, 2019
An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. Finance is not physics. Perhaps finance is harder than physics. All financial models are wrong.
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The Unofficial Google Data Science Blog
JANUARY 14, 2016
Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.
The Unofficial Google Data Science Blog
JULY 22, 2020
For the first example, consider a small website that is a platform for content on personal finance. How willing your users are to engage with personal finance content depends on whether or not it’s the weekend. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation.
The Unofficial Google Data Science Blog
FEBRUARY 29, 2016
The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. These typically result in smaller estimation uncertainty and tighter interval estimates. Rare binary event example In the previous post , we discussed how rare binary events can be fundamental to the LSOS business model.
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