These are slides from a talk I gave at MLConf NYC 2017. Hopefully they will be useful for anyone building ML models! Please comment for questions. I'm also interested in hearing about your experience tuning hyperparameters, and your mistakes and pain points.
Also, side note: MLConf was amazing and I'd recommend it to any machine learning practitioners
