The Unofficial Google Data Science Blog
JUNE 30, 2016
Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.
Rita Sallam
JULY 22, 2016
Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.
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Peter James Thomas
JUNE 20, 2019
Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Feel free to substitute Data Lake for Data Warehouse if you want a more modern vibe, sadly it won’t change the failure statistics. . [5]. – Gartner 2007. “60-70%
The Unofficial Google Data Science Blog
APRIL 23, 2024
If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck.
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. For example, imagine a fantasy football site is considering displaying advanced player statistics. 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.
Grooper
AUGUST 19, 2019
Scoring – i.e. profitability or risk. Technology – i.e. data mining, predictive analytics, and statistics. Banks use analytics to differentiate customers and align product offerings based on credit risk, usage, and other characteristics. Master data management. Data governance. Databases, tables, and columns. Primary keys.
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.
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