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Expand Up @@ -24,7 +24,7 @@ Almost like, watching a child grow right infront of you. :)

### Types of machine learning algorithms:
#### Supervised Learning
-Supervised learning is the machine learning task of learning things based on classified examples and previous data. This previous data is called training data which consists of a set of training examples.
Supervised learning is the machine learning task of learning things based on classified examples and previous data. This previous data is called training data which consists of a set of training examples.
For example you have to arrange some animals as "duck" or "not duck"
</br>You already know from your previous work about the physical characters of duck.
</br>Now classify the animals using this learned data.
Expand All @@ -34,10 +34,10 @@ For example you have to arrange some animals as "duck" or "not duck"
<img src="https://github.com/GopikrishnanSasikumar/Intro-to-Machine-Learning-Workshop/blob/master/images-2.png"alt="supervised learning" align="center"/>
</p>
Applications:
</br> Information extraction
</br>Object recognition in image processing
</br>Pattern recognition
</br>Speech recognition
</br>-Information extraction
</br>-Object recognition in image processing
</br>-Pattern recognition
</br>-Speech recognition


#### Unsupervised Learning
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