2003 Risk Statistics 
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed. The alternative we use is the forecast triangulation framework described above.
bridgei2i
MAY 26, 2020
It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.
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CIO Business Intelligence
NOVEMBER 29, 2023
When CEO Plinio Ayala joined Per Scholas in 2003, he noticed there weren’t enough skilled technicians to fix the hardware the organization collected. It was just talking about how computers work and the theory of code and the theory of statistical analysis and how best to write your code,” says Wilson.
O'Reilly on Data
DECEMBER 9, 2019
We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.
CIO Business Intelligence
JULY 24, 2024
In 2003, Oxford University professor Nick Bostrom asked what happens if you ask a smart AI to make as many paperclips as possible. When I teach MBA students, we’re more worried about the risks of AI in the here and now.” And the earlier they start, the more power they’ll have.
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