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Fix typos in ML introduction #10

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Fix typos in ML introduction #10

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2 changes: 1 addition & 1 deletion ...d Machine Learning/Week 1 - Intro to ML/w1-ch2-supervised-vs-unsupervised-ml.md
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Expand Up @@ -27,7 +27,7 @@ There are 3 main types of Machine learning
### Superivsed learning
> It refers to algorithms that learn `x` to `y` or **input** to **output** mappings.
>
> The key characterstic of superivsed learning is that you give your learning algorithm examples to learn from, which includes the right answers (`y`) for a given input (`x`), and is by seeing correct pairs of input `x` and desired output label `y` that the learning algorithm eventually learns to take just the input alone without the output label adn gives a reasonably accurate prediction or guess the output. ~ *Andrew Ng*
> The key characterstic of superivsed learning is that you give your learning algorithm examples to learn from, which includes the right answers (`y`) for a given input (`x`), and is by seeing correct pairs of input `x` and desired output label `y` that the learning algorithm eventually learns to take just the input alone without the output label and gives a reasonably accurate prediction or guess the output. ~ *Andrew Ng*

In Supervised learning, the algorithm maps the input data with output labeled data and guess the output on new input based on the mapping.

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