"Without theory, survey designers and data analysts must rely on their intuition, supported by “common sense” ideas about the things they are measuring and modeling. This reliance on “common sense” leads directly down the path to #bias."

Catherine D'Ignazio and #LaurenKlein in their book #Data #Feminism: https://data-feminism.mitpress.mit.edu/pub/czq9dfs5/release/3?from=25946&to=26180 @ethics @dataGovernance @data #OpenData
6. The Numbers Don’t Speak for Themselves

Principle #6 of Data Feminism is to Consider Context. Data feminism asserts that data are not neutral or objective. They are the products of unequal social relations, and this context is essential for conducting accurate, ethical analysis.

Data Feminism

@datadon

Unfilled cells influence models.
"Handling Missing Data in Machine Learning": https://ml-nn.eu/a1/51.html by Calin Sandu @mlnn

#missingData #bias #wealth #dataQuality #complexity #dataDev #machineLearning #dataPrep #EDA #dataWrangling

Handling Missing Data in Machine Learning

Machine Learning & Neural Networks Blog

@maugendre @datadon
Thanks Eric! Adding the updated url 😀
https://ml-nn.eu/a1/51.html
Handling Missing Data in Machine Learning

Machine Learning & Neural Networks Blog

@mlnn Oops! Thank you for the correction 🙂
@maugendre
Neah, don't mention it 😎