Daniel ShenfeldWhy would a data scientist write about VBC economics?And a bit about the challenge of financial modeling in VBCAug 31, 2023Aug 31, 2023
Daniel ShenfeldIntroducing: Risky JudgmentWhat Civil War finances can teach us about value-based careAug 17, 2023Aug 17, 2023
Daniel ShenfeldinTowards Data ScienceUntangling the Alphabet Soup of Medical Acronyms with AIStraight Talk about AI in Healthcare | Post #1Mar 17, 2020Mar 17, 2020
Daniel ShenfeldinTowards Data Science4 Product-Driven Steps to an AI RoadmapHow to teach products to make decisionsAug 8, 2019Aug 8, 2019
Daniel ShenfeldinTowards Data ScienceWhat I’ve Learned Working with 12 Machine Learning Startups8 lessons about products, data, AI, and peopleMay 6, 20198May 6, 20198
Daniel ShenfeldinTowards Data ScienceHow to Build an AI MoatForging the link between better models and better productsMar 11, 20191Mar 11, 20191
Daniel ShenfeldinHackerNoon.comThe Product/Data Fit StrategyHow to build better cars instead of drilling for more oilJan 8, 2019Jan 8, 2019
Daniel ShenfeldinHackerNoon.comProduct Driven Machine Learning (and Parking Tickets in NYC)Bridging the stats gap with acceptance criteria for data scienceOct 10, 2018Oct 10, 2018
Daniel ShenfeldinHackerNoon.comBeing Data Science ReadyHow to accelerate your startup, build data equity, and control data debtJul 17, 2018Jul 17, 2018
Daniel ShenfeldinHackerNoon.comThe Challenge of Product/Data FitApplying the Lean Startup Method to AI ProductsJun 19, 2018Jun 19, 2018