Sam SharpeInjuries in Baseball: How (Self-)Exciting?Modeling MLB player injury risk with temporal point processes.11 min read·Nov 8, 2022----
Sam SharpeinCapital One TechDynamic Customer Embeddings & Understanding Customer IntentHow sequential recommendation and representation learning can be leveraged to model customer behavior5 min read·Oct 25, 2021----
Sam SharpeinCapital One TechMachine Learning for Temporal Data in FinanceHow machine learning methods are evolving to address the complex temporal and sequential elements of consumer financial data8 min read·Oct 18, 2021----
Sam SharpeinMLB Technology BlogMLB Pitch ClassificationThe history of MLB’s pitch classification system and a deep dive into recent enhancements.12 min read·Feb 3, 2020--2--2
Sam SharpeinMLB Technology BlogAn Introduction to Expected Weighted On-Base Average (xwOBA)The Baseball Data Machine Learning team is focused on using data to tell the story of baseball and help serve baseball fans and clubs. Our…13 min read·Sep 21, 2019--3--3