The Data Visualisation Catalogue
APRIL 26, 2024
This region provides a robust measure of the spread of the central 50% of the curves. Median Curve: The median curve represents the most central observation and serves as a robust statistic for centrality. This allows for the definition of functional quantiles and the identification of central and outlying observations.
Data Science 101
JANUARY 15, 2020
Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Then after some time, you take the measurement again and there is a huge fluctuation in the result. So instruments should be checked well before taking measurements. Statistics Essential for Dummies by D.
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Occam's Razor
MAY 14, 2012
Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. I believe it is one of the best possible ways to measure what humanity is thinking, and telling us via the queries they run on Google.
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. Yet it’s possible to nudge people to more willingly pay their taxes on time. This is a more personalized form of peer pressure.
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. One reason to do ramp-up is to mitigate the risk of never before seen arms.
O'Reilly on Data
MARCH 20, 2019
Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. 2010): 121-148. This could include data poisoning, watermark attacks, or adversarial example attacks.
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