Sniffing Out Technical Debt in Machine Learning Solutions With the democratization and open-sourcing of machine learning tools, there has been an explosion of interest in incorporating machine learning into existing systems, or building stand alone machine learning solutions. However, as Google Researchers Sculley et al. have astutely observed in their recent paper, Hidden Technical Debt […]
Full Stack Data Science in Two Weeks: A Painful Retrospective
In the wake of the announcement that the city of Washington, DC would receive its first Michelin Guide, the local branch of General Assembly issued a challenge to the Data Science community. Who among them could predict, using Data Science methodologies, which restaurants in the District would receive Michelin stars? Not only that but how […]