August, 05, 2015
CDS Prof David Rosenberg Pushes the Boundaries of Machine Learning & Predictive Analytics
Data Science can Unleash the True
Power of the Digital Age.
Data is being produced at unprecedented speed and scale.
It's happening in nearly every facet of life, from commerce to utilities.
What's happening at the NYU Center for Data Science?View all
February, 09, 2015
Data science creates meaning from vast amounts of complex data.
Using automated analytical methods, it reveals patterns humans alone might never see. Data science combines aspects of:
Data science offers new approaches to age-old decision-making and problem-solving processes.
A look at how data science is fundamentally shifting the way professionals do their work:
Databases and visualization software are becoming the newest tools of the trade for investigative journalists. Take for example the The Declassification Engine, a project to sift through a massive amount of declassified U.S. government documents using natural language processing and statistical/machine learning. A group of individuals, let alone an individual journalist, could never reasonably achieve such a feat.
Listen to a member of the project discuss The Declassification Engine
The Emergency Services Manager
Cities have long collected and analyzed information about emergency response times, but according to Michael Flowers, director of analytics for New York City’s Office of Policy and Strategic Planning, the information has typically been limited to location. With his office’s help, the city is trying to streamline the emergency response process and get to people in need sooner by looking at a wider range of data elements, such as the operator’s script.
Listen to Michael Flowers talk about the way data is improving NYC
The TV/Film Producer
A time-honored way to ensure that a TV program or movie becomes a hit is screening it with test audiences, tweaking the final product in reaction to audience feedback. That’s all changing thanks to online platforms like Netflix that gather information on viewer’s behavior (which episodes are rewatched, at which episode in a series most viewers quit the series, how many minutes into a movie people hit pause) like never before. Such data may change how TV and films are made and distributed. TV and movie makers will have new insight into what audiences like before scripts are shot; producers will be able to target their creations to the individuals that will embrace them most.
Read: "At Netflix, big data can affect even the littlest things"