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Update README.md

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  1. README.md +9 -9
README.md CHANGED
@@ -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: "example 6 - Djikstra"
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  - text: "This concludes the [MASK]."
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- example_title: "example 0 a"
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  - text: "We show this by [MASK]."
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- example_title: "example 0 b"
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  - text: "By [MASK]'s inequality."
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- example_title: "example 7 - inequalities"
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  - text: "The [MASK] is definite positive."
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- example_title: "example 1"
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  - text: "* In particular any field is a [MASK]."
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- example_title: "example 2"
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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: "example 3 - algorithm specific"
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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: "example 4 - 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: "example 5 - Machine learning"
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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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  ---