HenAIinTowards Data Science1+1=? Better decision-making when causal inference meets machine learningDouble Machine Learning: A general framework for estimating causal effects using machine learning (ML) methodsApr 27, 20201Apr 27, 20201
HenAIinTowards Data ScienceStay Hunger, stay foolish — Deep dive in StackOverflow 2018 surveyIntroductionOct 18, 20181Oct 18, 20181
HenAIinCivic Analytics & Urban IntelligenceDesign Pattern for Smart City“Design is the re-usable form of a solution to a design problem” — Christopher AlexanderDec 4, 2016Dec 4, 2016
HenAIinCivic Analytics & Urban IntelligenceThe sparkle of Urbanist and Technologist — SideWalk Labs Talk11/17 Thursday night. SideWalk Labs started their first talk about AV policy at HudsonYard. There were around hundred of urbanist and…Nov 20, 2016Nov 20, 2016
HenAIinCivic Analytics & Urban IntelligenceWhy Airbnb doesn’t solve the housing problem?In New York City, Uber is everywhere. By contrast, Airbnb, a tech firm has similar idea with Uber but focus on housing problem, just…Nov 6, 2016Nov 6, 2016
HenAIinCivic Analytics & Urban IntelligenceThe City of TomorrowRecently, I spend most of time reading different urban innovation about future city. A book Called “The City of Tomorrow”, wrote by…Oct 23, 2016Oct 23, 2016
HenAIinCivic Analytics & Urban IntelligenceWrong! Wrong!Wrong! Will the next president be an adaptive leader?Adaptive Leadership is a practical leadershipframework that helps individuals and organizations adapt and thrive in challenging…Oct 3, 2016Oct 3, 2016
HenAIinCivic Analytics & Urban IntelligenceCan Machine Intelligence solve Wicked Problems?Some problems are so complex that you have to be highly intelligent and well informed just to be undecided about them. — Laurence J. PeterSep 24, 2016Sep 24, 2016