BigDataFr recommends: The Data Science Process What does a day in the data science life look like? Here is a very helpful framework that is both a way to understand what data scientists do, and a cheat sheet to break down any data science problem. At Springboard, our data students often ask us questions like […]

BigDataFr recommends: Insightful applications: The next inflection in big data […] In previous posts, I wrote about the need for insight generation and provided an example of an insightful application. I maintain that insightful applications are the key to businesses effectively exploiting big data in order to improve decision-making and address important problems. To better […]

BigDataFr recommends: SlideShare Presentations on Data Science – Kunal Jain’s recommandations […] The beauty about learning from presentations is that you can quickly zoom in on the section you want to and come out at your own pace – no one decides that for you! If it fits your learning style, they can be the […]

BigDataFr recommande: Chasing data in the Intermediation Era: Economy and Security at stakes […] Intermediation is the action to match two types of actors (users, clients, services, etc.) in a world with incomplete information, where the matching would have been difficult without intermediaries. We show the increasing role of on-line intermediation platforms in the economy, […]