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All Blog Posts Tagged 'bias' (7)

The Simple Easy Solution for Eliminating Bias from Models

Summary: This is a discussion of social injustice, real or perceived, promulgated or perpetuated by machine learning models.  We propose a simple solution based on wide spread misunderstanding of what ML models can do.

 

This is a discussion of social injustice, real or perceived, promulgated or perpetuated by…

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Added by William Vorhies on September 11, 2020 at 1:38pm — No Comments

Racial Bias in Modeling – Not as Simple as You Might Think

Summary:  Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans.  Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.

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Added by William Vorhies on June 29, 2020 at 11:31am — No Comments

Omitted Variables in Linear Regressions

The importance of completeness of linear regressions is an often-discussed issue. By leaving out relevant variables the coefficients might be inconsistent.

But why on earth?! 

Assuming a linear complete model of the form:

z = a + bx + cy + ε.

Where z is supposed to be dependent, x and y are independent and ε is the error term.

Now we drop y to check…

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Added by Frank Raulf on November 13, 2019 at 2:00am — No Comments

Detecting Bias with SHAP

StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published the (anonymized) 2019 results for analysis. They’re a rich view into the experience of software developers around the world — what’s their favorite editor? how many years of experience? tabs or spaces? and crucially, salary. Software engineers’ salaries are good, and sometimes both eye-watering and news-worthy.

The tech industry is also painfully aware that it does not always live…

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Added by Sean Owen on August 8, 2019 at 8:00am — No Comments

Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.

Summary:  There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail.  It’s not as simple as it seems and here we try to take a more nuanced look.  The result is not as threatening as many headlines make it seem.

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Added by William Vorhies on June 5, 2018 at 8:00am — No Comments

7 Common Biases That Skew Big Data Results

Summary:  Flawed data analysis leads to faulty conclusions and bad business outcomes. Beware of these seven types of bias that commonly challenge organizations' ability to make smart decisions.

This is a great article by Lisa Morgan originally published on InformationWeek.com.  See the original article…

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Added by William Vorhies on July 16, 2015 at 2:50pm — 2 Comments

Fooled by Twitter Data

Data scientists must always remember that data sets are not objective -  they are selected, collected, filtered, structured and analyzed by human design. Naked and hidden biases in selecting,…

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Added by Michael Walker on October 7, 2013 at 9:14pm — No Comments

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