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jphall663 / interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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Please post the slides from Youtube video https://www.youtube.com/watch?v=Q8rTrmqUQsU #3

Closed wnmills3 closed 5 years ago

wnmills3 commented 5 years ago

I enjoyed your presentation I found on Youtube from a meet up in late April. You'd mentioned the pdf for the talk would be posted but from Youtube it is unable to be found. Could you please post here or there? Thanks in advance.

jphall663 commented 5 years ago

Oh great - I believe everything is here: https://github.com/h2oai/h2o-meetups/blob/master/2018_04_30_NYC_MLI_good_bad_ugly/MLI_good_bad_ugly.pdf

Also you may be interested in these repos: https://github.com/h2oai/mli-resources https://github.com/jphall663/awesome-machine-learning-interpretability