Graydon SniderSomething is missing in today’s recommendation systemsMany personalized recommendation engines boil down to “here are some items that you might like”. In other words here’s a list, take it or…4 min read·May 21, 2021--1--1
Graydon SniderinSSENSE-TECHCustomer Segmentation: Fooled by RandomnessHow natural statistical phenomena can fool us5 min read·May 8, 2020----
Graydon SniderinSSENSE-TECHComparing Apples, Oranges and BananasBehind every recommender system lies a bevy of metrics.7 min read·Feb 6, 2020--1--1
Graydon SniderinSSENSE-TECHDefining ‘Done’ in Data ScienceObservations on Data Science development cycles7 min read·Jul 25, 2019----
Graydon SniderinSSENSE-TECHData Science and Beyond: Transitioning from Academia to IndustryAn academic’s perspective on adapting to a business-skills environment5 min read·Apr 4, 2019----
Graydon SniderinSSENSE-TECHUnsupervised Product Clustering: Exploring the Cold Start ProblemUsing a simple text mining tool to help a complex recommendation system7 min read·Mar 7, 2019--2--2