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Add machine-learning algorithm examples.

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`@@ -135,6 +135,8 @@ a set of rules that precisely define a sequence of operations.`
`135`	`135`	*`A`[Travelling Salesman Problem](src/algorithms/graph/travelling-salesman) - shortest possible route that visits each city and returns to the origin city
`136`	`136`	`*Cryptography`
`137`	`137`	*`B`[Polynomial Hash](src/algorithms/cryptography/polynomial-hash) - rolling hash function based on polynomial
	`138`	`+*Machine Learning`
	`139`	+*`B`[NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
`138`	`140`	`*Uncategorized`
`139`	`141`	*`B`[Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower)
`140`	`142`	*`B`[Square Matrix Rotation](src/algorithms/uncategorized/square-matrix-rotation) - in-place algorithm

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