Electrical Engineering & Data Science Institute Seminar
Abstract: In recent years there has been growing interest in using Call Detailed Records (CDRs) to understand user behavior in wireless networks. Typical studies examine user mobility patterns or social interactions via mobile call graphs. In this talk we discuss ways in which we can use CDRs to understand how users respond to the pricing features of their wireless service plan. Such information allows network operators to better tailor plans to individual needs.
The amount of observational and model-simulated data within the climate sciences has grown at an accelerating rate since the early 1980s.
How is social media changing the way researchers and scholars communicate with each other, on their campuses, and with the public? Why should researchers make use of social media?
The Fall Career Fair includes organizations from many industries, including finance, consulting, consumer goods, media, marketing, advertising, and more!
Probabilistic topic models provide a suite of tools for analyzing large document collections. Topic modeling algorithms discover the latent themes that underlie the documents and identify how each document exhibits those themes. Topic modeling can be used to help explore, summarize, and form predictions about documents.
We are excited to welcome the inaugural class for the Certification of Professional Achievement in Data Sciences! http://datascience.columbia.edu/certification