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The Central Limit Theorem

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October 12, 2020

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October 13, 2020

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October 2, 2020

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June 19, 2020

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October 29, 2020

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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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What is convex function in Machine Learning

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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What is clipping in Machine Learning?

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What is categorical data in Machine Learning?

Features having a discrete set of possible values. For example, consider a categorical feature named house style, which has a discrete set of three possible values: Tudor, ranch, colonial. By...

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What is bag of words in Machine Learning?

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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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 29, 2020

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What is confusion matrix in Machine Learning?

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December 28, 2020

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December 27, 2020

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December 24, 2020

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December 23, 2020

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December 17, 2020

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