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README.md
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@@ -5,29 +5,29 @@ language:
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- en
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widget:
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- text: "Dijkstra's algorithm is an algorithm for finding the [MASK] paths between nodes in a weighted graph"
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example_title: "
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- text: "This concludes the [MASK]."
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example_title: "
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- text: "We show this by [MASK]."
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example_title: "
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- text: "By [MASK]'s inequality."
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example_title: "
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- text: "The [MASK] is definite positive."
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example_title: "
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- text: "* In particular any field is a [MASK]."
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example_title: "
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- text: "* To determine the shortest distance in a graph, one can use [MASK]'s algorithm."
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example_title: "
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- text: "* An illustration of the superiority of quantum computer is provided by [MASK]'s algorithm."
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example_title: "
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- text: "* One of the ways of avoiding [MASK] is using cross validation, that helps in estimating the error over test set, and in deciding what parameters work best for your model."
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example_title: "
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---
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- en
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widget:
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- text: "Dijkstra's algorithm is an algorithm for finding the [MASK] paths between nodes in a weighted graph"
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example_title: "Djikstra"
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- text: "This concludes the [MASK]."
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example_title: "0a"
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- text: "We show this by [MASK]."
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example_title: "0b"
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- text: "By [MASK]'s inequality."
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example_title: "inequalities"
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- text: "The [MASK] is definite positive."
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example_title: "0c"
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- text: "* In particular any field is a [MASK]."
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example_title: "0d"
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- text: "* To determine the shortest distance in a graph, one can use [MASK]'s algorithm."
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example_title: "algorithm"
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- text: "* An illustration of the superiority of quantum computer is provided by [MASK]'s algorithm."
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example_title: " algorithm name"
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- text: "* One of the ways of avoiding [MASK] is using cross validation, that helps in estimating the error over test set, and in deciding what parameters work best for your model."
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example_title: "Machine learning"
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---
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