Does Your Model Launch Have a SafetyNet?
April 4, 2018 9:29 amIn the adversarial and constantly changing world of fraud detection and trust enablement, keeping up with the most recent online […]
ML Experiments at Sift Science, Pt. 3: Building the Right Tools
January 9, 2017 8:51 amIn the first two posts of this three-part series we discussed how we ensure correctness when conducting and analyzing machine […]
ML Experiments at Sift Science, Pt. 2: Analyzing Thousands of Models
December 21, 2016 9:14 amIn the first post on ML Experiments at Sift Science, we described how we minimize bias in our offline experimentation […]