Posted in News Story | Tagged News
Jeff Chen, U.S. Department of Commerce
The expression “garbage in, garbage out” is known to all. But what does this mean for machine learning and data mining? This talk will explore several case where application of machine learning approaches have failed (or misled the practitioners with erroneous success) because of deficiencies in training data, poor documentation of feature sets, violation of tacet mathematical assumptions, or naive application of techniques.
Jeff Chen is Deputy Chief Data Officer of the US Department of Commerce where he leads the Commerce Data Service working to integrate data science into policy and operations. A statistician by trade, he has led and deployed data-driven efforts in 35 fields in a dozen countries as well as has led and contributed to efforts at NASA, the White House Office of Science and Technology Policy, the NYC Fire Department, the Clinton Health Access Initiative, and the NYC Mayor’s Office.
Student Perspective: From Chemistry Teacher to Data Scientist
March 8th, 2023
by Katie Mead (’24) Journey to Georgetown My journey to data science started during the Covid-19 pandemic. I had moved from Virginia to Nashville, TN for Teach For America. My placement was in…
Student Perspective: Torqata Reinvent the Wheel Hackathon
February 2nd, 2023
Participating in a Hackathon is an important milestone in any data scientist’s journey. Hackathons provide an exciting opportunity to take the skills and techniques you’ve learned and apply them to solving a challenging business problem for a company.…
DSAN Partners with Lander Analytics for R Gov Conference
December 15th, 2022
The first two days of December saw DSAN partnering with Lander Analytics to host the R Gov Conference. The R Gov Conference hosts one of the most elite gatherings of data scientists and data professionals who come together to explore, share, and inspire ideas, and to promote the growth of open-source ideals.…
DSAN and DataKindDC Partner for a DataDive for Social Impact
November 7th, 2022
On Saturday, October 22, we partnered with DataKindDC for an all-day data dive, giving our students a chance to work in real-time alongside local volunteer data scientists on projects for four non-profits to move the selected organization’s programming forward and benefit the communities they serve.…
