Data Science 101
JANUARY 15, 2020
Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Suppose we want to test the effectiveness of a new drug against a particular disease. Let the number of literate people increased by 5000 in 2010-2020 whereas 3500 in 2000-2010. REFERENCES. McCabe & B.
Andrew White
JUNE 27, 2022
Statistically the rate of fatal accidents increases in those stretches of road that follow such signs! And that was between 2010 and 2017. Or maybe at the DOT location where emissions are tested. Data Sharing – The Wrong Way? One week in four the fatal road deaths are shown. So, it looks solid. Surly everyone knows that.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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. One of the best solutions for data protection is advanced automated penetration testing. The instances of data breaches in the United States are rather interesting.
DataRobot
JULY 6, 2021
The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. The Behavioural Insights Team ran an experiment, testing four variations to the language used in reminder letters on a trial group.
Occam's Razor
JANUARY 6, 2010
Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 2 Learn basic statistics. For all of the above reasons it is becoming ever more important that you are know atleast Statistics 101. 1: Don't suck.
The Unofficial Google Data Science Blog
JULY 22, 2020
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. We offer two examples where this may be the case.
The Unofficial Google Data Science Blog
MARCH 31, 2016
We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). Journal of the American Statistical Association 68.341 (1973): 117-130. [5]
Expert insights. Personalized for you.
96 
Let's personalize your content