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What is demographic parity in Machine Learning

A fairness metric that is satisfied if the results of a model’s classification are not dependent on a given sensitive attribute. For example, if both Lilliputians and Brobdingnagians apply to...

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A function in which the region above the graph of the function is a convex set. The prototypical convex function is shaped something like the letter U. For example, the following are all convex functions: By...

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What is confusion matrix in Machine Learning?

An NxN table that summarizes how successful a classification model’s predictions were; that is, the correlation between the label and the model’s classification. One axis of a confusion matrix is...

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What is clustering in Machine Learning?

Grouping related examples, particularly during unsupervised learning. Once all the examples are grouped, a human can optionally supply meaning to each cluster. Many clustering algorithms exist. For example...

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A “bag of words” is a representation of the words in a phrase or passage, irrespective of order. For example, bag of words represents the following three phrases identically: the dog jumpsjumps the...

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Why is picking the right programming language for Blockchain so important?

Picking the right programming language for Blockchain can have a huge impact on a Blockchain platform’s future success. Security is obviously the main concern — not least because a vulnerability can have a fatal effect...

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Big Data Data Science Machine Learning & AI Tutorials

What is demographic parity in Machine Learning

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December 31, 2020

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What is convolution in Machine Learning

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December 30, 2020

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December 28, 2020

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