Add Common misconception sections to MLJTutorials

JuliaAI / DataScienceTutorials.jl

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

https://juliaai.github.io/DataScienceTutorials.jl/

MIT License

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Add Common misconception sections to MLJTutorials #60

Open OkonSamuel opened 4 years ago

OkonSamuel commented 4 years ago

This might be helpful to new users especially those coming from sklearn. For example misconceptions about the use of measures and what MLJ means by determistic and probabilistic responses compared to sklearn.

ablaom commented 4 years ago

Great idea!

Common misconceptions:

measures terminology (vs "metric", "loss", and so forth)
measures for probablilistic predictors
probabilistic predictions vs deterministic ones