Videos

Total video to watch in this module: 51 minutes

Once the text is entirely converted to words, we need to decide on their pronunciations.
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We need a set of labelled training data, because this is supervised machine learning.
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We start by placing all the training data at the root node, and calculating its entropy.
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Next, we try splitting the data at the root node using one of the available questions...
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...and repeat for all other available questions. The best one is placed in the tree. Then we recurse.
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This is typically predicted in several stages: placement of events, classification of their types, then realisation.
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A quick recap
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