please explain what dimensionality reduction means and how it is useful in the context of ML ? Let's suppose that your mother tongue M has 100 alphabets and you recently learnt a new language E with 26 alphabets (e.g., English). As a non-native speaker of E you think in M and then translate the same into E to speak in E. Given that you are expressing the same thoughts in lower number of alphabets, would this mean you are performing a dimensionality reduction here ? Please explain your reasoning in detail ?

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