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Data Science Research Symposium

This annual day-long event connects faculty members, senior researchers and graduate students with industry and public sector leaders to explore practical applications of data science and the potential of its research. 

 

Statistical and Computational Data Science Distinguished Lecture Series

The Data Science Distinguished Lecturer Series brings in engaging speakers from across data science disciplines. This semester's lecture series focuses on research at the interface of statistics and computation and is a joint effort between the CDS and CNS.


These events are free and open to the public on a first come, first serve basis.

Data Science Tea

Tea, refreshments and informal technical conversations about topics in data science. Occurs at 4pm in rm 151 in the Computer Science Building on Mondays.


The format of this time can take on multiple forms:

  • Each presenter has a poster, there is normal poster-session wandering and technical discussion while eating and socializing.
  • People sit down, and see about four 10-minute presentations with slides and questions.
  • ...or, the most fun and chaotic: Presenters are simply at the whiteboard, talking about their latest idea informally while writing on the white board, with 10-15 people gathered around them standing. Multiple of these whiteboard presentations may be going simultaneously in different parts of the room; additional people may be just talking among themselves in the center of the room. Minimal preparation---just show up, ready to describe your latest ideas, as you would to a colleague in your office.

These events are free and open to the public on a first come, first serve basis.

 

Here are a few of our recent teas:

Machine Learning & Friends Lunchtime Seminar Series 

MLFL is a lively and interactive forum held weekly where friends of the UMass Amherst machine learning community can sit down, have lunch, and give or hear a 50-minute presentation on recent machine learning research.

 

These events are free and open to the public on a first come, first serve basis.

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