Are data teams generally familiar with the diversity prediction theorem?

See the Netflix’s Prize re Cinematch.

Adding a new source of data with a new model to an existing consumer predictive systems will increase accuracy.

If the cost to add it is minimal, should be a no-brainer.

Some treat it as a choice (old vs new) as opposed to both is better.

Head scratcher.

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Out of curiosity, is this equivalent to wisdom of crowds? Also… if you increase accuracy, you risk overfitting the model right? It’s a trade off between more than just financial cost and accuracy

Yes on wisdom of the crowds. Same general principle where you want diversity of opinion and fact. The problem 99% of teams face is they are limited to the existing data set and therefore have an issue actually getting new diverse sources to add.

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At work do you ever describe who you’re dating without using gender specific pronouns just to avoid finding out if a co-worker is going to act weird about it? Lol

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Larsen & Toubro Infotech Deloitte India Lets date if we are in same city.

Comment out your city names and gender.

Larsen & Toubro Infotech Tata Consultancy Infosys Accenture IBM Nagarro ZS Associates Deloitte India KPMG EY Deloitte Twitter Amazon

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From the moderator, for discussion.

Should white males be concerned that current focus on diversity will lead to negative results

If Yes, why and under what conditions
If No, why not?

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Use the format:
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