InDelphinabyDuncan Gilchrist·Mar 14, 2024The 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…
InDelphinabyDuncan Gilchrist·Feb 28, 2024The paradox of machine learning — what leaders need to knowDo the work — and don’t buy the snake oil
InDelphinabyDuncan Gilchrist·Feb 13, 2024The 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.
InDelphinabyDuncan Gilchrist·Feb 5, 2024Who 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…
InTeconomicsbyDuncan Gilchrist·Nov 18, 2017How to Use Machine Learning to Accelerate AB TestingBest of Both Worlds, Part 2: Double Selection & Double ML for Covariate SelectionA response icon9A response icon9
InTeconomicsbyDuncan Gilchrist·Jul 11, 2016A dummy’s guide to Network EffectsThis article was written with Emily Glassberg Sands.
