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What is wrong with conventional statistical methods ?

Manual hypothesis testing:

Not practical with large numbers of variables

User-driven… User specifies variables, functional form and type of interaction:

User intervention may influence resulting models

Assumptions on linearity, probability distribution, etc.

May not be valid

Datasets collected with statistical analysis in mind

Not always the case in practice

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