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Might be a nitpick but I think being consistent in the terminology used in the notebook would be helpful for learners (the people 馃槢 ). We should of course, note the other names something is called but for the notebooks be consistent. Potentially we could use terms that are consistent with those used in scikit-learn?
Off the top of my head these are used a little interchangeably:
estimator/learner/model
fit/learn/train
data point/sample/instance (i vote for not using instance, because we also talk about programming class instances)
infer/inference & predict/prediction
The text was updated successfully, but these errors were encountered:
I think that we should solve this by using the glossary. It might be interesting to use (at least mentioned all known terms) related to the same concept.
Might be a nitpick but I think being consistent in the terminology used in the notebook would be helpful for learners (the people 馃槢 ). We should of course, note the other names something is called but for the notebooks be consistent. Potentially we could use terms that are consistent with those used in scikit-learn?
Off the top of my head these are used a little interchangeably:
The text was updated successfully, but these errors were encountered: