Duncan GilchristinDelphinaThe six most painstaking steps in machine learning — what your team isn’t telling you(Sequel to The paradox of machine learning — what leaders need to know, which dives into a specific story of machine learning for Express…Mar 14Mar 14
Duncan GilchristinDelphinaThe paradox of machine learning — what leaders need to knowDo the work — and don’t buy the snake oilFeb 28Feb 28
Duncan GilchristinDelphinaThe costliest mistake your business can make in machine learningNote from Jeremy & Duncan: Hey folks, we’re Jeremy Hermann and Duncan Gilchrist, and we’re all about ML and data products.Feb 13Feb 13
Duncan GilchristinDelphinaWho should own machine learning?Note from Jeremy & Duncan: Hey folks, we’re Jeremy Hermann and Duncan Gilchrist, and we’re all about ML and data products. Today we dive…Feb 5Feb 5
Duncan GilchristinTeconomicsHow to Use Machine Learning to Accelerate AB TestingBest of Both Worlds, Part 2: Double Selection & Double ML for Covariate SelectionNov 18, 20179Nov 18, 20179
Duncan GilchristinTeconomicsA dummy’s guide to Network EffectsThis article was written with Emily Glassberg Sands.Jul 11, 2016Jul 11, 2016