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It has to be generalized enough that other people can look at the cover and say, "That's the kind of thing I would imagine as well".
The relative tool-work vibration is not generalized enough to represent the actual displacement between tool and workpiece in previous prediction models.
The feature selection process is generalized enough to be an ensemble where the winner takes all.
Cross-validation is a technique to assess how accurately a predictive model will perform on an independent data set and whether the model recognizes a pattern that is generalized enough to apply to unseen data [ 74, 75].
If you find yourself using the same functions repeatedly, consider writing your own MySQL library that is generalized enough that you can include it in any one of your scripts.
The boundaries in S become generalized enough so that they accept d and be more specific than boundaries in G.
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In the case of the apple-orange network, we want it to generalize enough so that it recognizes all images of apples and oranges, regardless of whether they were present in the training set.
Every ML algorithm requires data to learn — enough data to generalize well enough to the scope of the population.
Indeed, it has been argued that a tension exists between Generalized CEA that is general enough to be interpretable across settings, and CEA that takes into account local context [ 30], and that local decision-makers need to contextualize sectoral CEA results to their own cultural, economic, political, environmental, behavioural, and infrastructural context [ 31].
Generalizing works often enough to make do in a world where things disappear on their own, and we add and subtract things from our awareness on purpose.
Techniques such as k-anonymity might also help to generalize the data enough to make it unfeasible to de-anonymize data (LeFevre et al. 2005).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com