Smart Data Collective
APRIL 13, 2021
Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. They can use AI and data-driven cybersecurity technology to address these risks. The instances of data breaches in the United States are rather interesting. In summary.
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]. – CIO.com 2010. “61%
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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.
O'Reilly on Data
MARCH 20, 2019
Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. 2010): 121-148. Barreno, Marco, et al.
The Unofficial Google Data Science Blog
AUGUST 27, 2019
But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. High Risk 10% 5% 33.3% Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] 16 (2): 101–133. [3]
Occam's Razor
MARCH 23, 2010
Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Yet case studies in some sense reduced risk, even if they were simply over blown marketing fluff written by the vendor. Part of it fueled by some Consultants.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.
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