See http://fastml.com/gender-discrimination/ for description.
prep_data.py - a first step
chunk_by_authors.py - a utility for preparing a validation set
split_by_authors.py - a utility for preparing a validation set
f_sigmoid.r - sigmoid function
f_log_loss.r - log loss function for scoring
f_normalize_to_01.r - a utility function for using with linearRidge()
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The best way to use this material is by forking it by click the Fork button at the top, right corner. Then you will get your own copy to play with! Th
ehtim (eht-imaging) Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods. This ve
Python Experiments A Repository which contains python scripts to automate things
IHaskell You can now try IHaskell directly in your browser at CoCalc or mybinder.org. Alternatively, watch a talk and demo showing off IHaskell featur
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