Smart Data Collective
MARCH 27, 2020
Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Statistics show that married people have fewer car accidents than singletons. Insurance companies have access to crime statistics and can track the number of car theft and break-ins per neighborhood. Demographics.
Andrew White
JUNE 9, 2019
The period was between 1961 and 2017, when Hong Kong grew from about a quarter as rich as the UK to almost 40%. If bureaucrats start to measure something, it won’t be long before they start to meddle in it. In data and analytics we all know the phrase, ‘you can’t manage what you don’t measure’. For example, GDP was not tracked.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
BizAcuity
MARCH 25, 2019
This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets.
The Unofficial Google Data Science Blog
JULY 18, 2023
E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.
The Unofficial Google Data Science Blog
APRIL 23, 2024
the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.
The Unofficial Google Data Science Blog
APRIL 17, 2017
First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. For this simple vignette, we might regard $X_1$ and $X_2$ as errors from a measuring scale and note that $X_2$ is not as precise an instrument as $X_1$. OTexts, 2014.
Domino Data Lab
MAY 8, 2019
Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. 2018-06-21).
Expert insights. Personalized for you.
108 
Let's personalize your content