CIO Business Intelligence
APRIL 28, 2022
auxmoney began as a peer-to-peer lender in 2007, with the mission of improving access to credit and promoting financial inclusion. Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission.
Jet Global
NOVEMBER 14, 2022
The purpose of transfer pricing is to ensure that each company in a group earns a fair return on its investment, taking into account risk and the cost of capital. The company transferred IP value to affiliates between 2007 and 2009. Mitigate Your Transfer Pricing Risk through Continuous Monitoring. Download Now.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Peter James Thomas
JUNE 20, 2019
King was a wise King, but now he was gripped with uncertainty. – Gartner 2007. “60-70% For example in 20 Risks that Beset Data Programmes. . [7]. And a more competent Chief Risk Officer. . The office of Chief Wizard commanded a stipend that was not inconsiderable. – CIO.com 2010. “61%
The Unofficial Google Data Science Blog
APRIL 23, 2024
Crucially, it takes into account the uncertainty inherent in our experiments. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. It is a big picture approach, worthy of your consideration.
The Unofficial Google Data Science Blog
JULY 22, 2020
One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.
O'Reilly on Data
DECEMBER 9, 2019
Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. and an error term ??
The Unofficial Google Data Science Blog
MAY 31, 2016
Further, there is the risk that the increased ad spend will be less productive due to diminishing returns (e.g., In practice, the focus of the team is however on the estimate of $beta_2$, not to forget about the uncertainty around this estimate: the confidence interval half-width was estimated to be 0.27. Cambridge, 2007.
Expert insights. Personalized for you.
94 
Let's personalize your content