In the previous chapters, we took a look at different machine learning algorithms and then we worked on how to work with data for those algorithms. Those datasets were largely tabular, and the individual values were either numerical or categorical. Generally, not much processing is required in those datasets because computers are great with standardized and structured data. While trying to apply those machine learning techniques to human language though, it opens up a whole new box of challenges as language is not precise and holds different meanings ...
5. Natural Language Processing
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