It was another year of growth for the graduate certificate program at the Center for Statistics and Machine Learning (CSML) which saw 16 graduate students completing the program, an increase from 13 in the previous year and eight for the first cohort in 2019.
As COVID-19 stalked the streets of New York City last year and racked up increasing mortality rates, there were many anecdotal stories in the news media of people abandoning the city.
The universe is a noisy place when it comes to radio transmissions. Cosmological objects from stars to black holes emit radio waves that can sound like eerie electronic ringing or high-pitched squeaks.
Data science affords many opportunities outside academia that can range from policy making in government and think tanks to industries such as finance, transportation and medical.
On April 30, students in the Princeton Data Science club presented updates on research projects. The students and their ongoing projects are listed below:
Students at Princeton University have a unique opportunity to learn about data science and win great prizes through a new competition overseen by the student-led organization Princeton Data Science (PDS) and sponsored by the Center for Statistics and Machine Learning (CSML).
With the rise of machine learning and data science as essential tools across the Princeton University campus, a group of students has gathered to revive the Princeton Data Science (PDS) club as a way to provide more opportunities to learn about this discipline.
Since he arrived at Princeton University in late 2017, Vineet Bansal has been very busy. Bansal is a senior research software engineer jointly appointed in the Center for Statistics and Machine Learning (CSML) and the Princeton Institute for Computational Science and Engineering (PICSciE).
The mysteries and fun of chemistry lured Jose A. Garrido Torres to devote his academic career to the discipline. But as he pursued the subject, Garrido Torres still wanted to maintain his interest in computers, particularly the application of computing to data science.