To DS or not to DS?

By Maya Miller-Vedam A passing comment in w261 yesterday reminded me of some of our w231 conversations in the past few weeks. We were discussing the benefits of SVMs vs Logistic Regression in different situations and the professor cited ‘heart attacks’ as an example of non linearly separable (i.e. inherently noisy) data. Specifically he said […]

The Limits of Data in Public Discourse

By David Harding In chapter 25 of The Hitchhikers Guide to Galaxy by Douglas Adams, two philosophers try to prevent the introduction of the super computer Deep Thought. They fear it will put them out of a job. As one explains “I mean, what’s the use of our sitting up half the night arguing that […]

How Big Data is Making Your Home Smarter

By Sharon Lin With the advancement in technology, “internet of things” have become ubiquitous. This is especially true in the world of home automation. Home automation has been a popular feature in science fiction media for years. From robot vacuum in the Jetson’s to wearable computing in Back to the Future II, science fiction media […]

ETHIC WALLS for DATA MONOPOLIES?

By Guillermo Monge An “Ethics Wall”[1], more commonly known as “Chinese Wall”[2], is a term used to describe a barrier that separates information from two sub-components within the same party, due to conflicts of interest or separation of sensitive confidential information. These ethics walls serve purposes such as separating strategic confidential corporation information that M&A teams […]