May 7, 2021 Come learn about the inner workings of convolutional neural networks (the backbone of modern visual recognition) and how they are applied to recognizing objects in images.
April 19, 2021 Come learn about the inner workings of neural networks and how they can be applied to the image classification task. The workshop will be interactive with the opportunity for you to get your feet wet and write your code implementing deep learning in Python!
April 9, 2021 Are you a SOC/SPIA major, planning on majoring in SOC/SPIA, or just have an interest in sociology or public affairs? Want to learn more about being a professor, grad school, research, or simply have a conversation with one of Princeton’s amazing faculty members? Well, you're in luck - Princeton Data Science is hosting an office hours with the SOC department’s Professor Filiz Garip Friday from 4-5pm! Come to ask questions, discuss, or simply listen in this casual office hours setting.
Professor Garip is a professor in the Sociology and Public Affairs department. She received her PhD in Sociology from Princeton University in 2007 and was a professor of Sociology at both Harvard and Cornell University until 2020. Her research interests lie at the intersection of migration, economic sociology, and inequality, and she has collaborated with experts in various fields including computer science, economics, and demographics. She recently has been exploring the applications of machine learning in sociology, economics, and political science.
April 4, 2021 Workshop to introduce participating students to the 2021 PDS Data Bowl task, and give them some code to get started.
March 26, 2021 Are you a COS major, planning on majoring in COS, or just have an interest in computer science? Want to learn more about being a professor, grad school, research, or simply have a conversation with one of Princeton’s amazing faculty members? Well, you're in luck - Princeton Data Science is hosting an office hours with the COS department’s Assistant Professor Danqi Chen TOMORROW from 4-5pm! Come to ask questions, discuss, or simply listen in this casual office hours setting.
Professor Chen is an assistant professor in the Computer Science department. She received her PhD in Computer Science from Stanford University in 2018, and co-leads the Princeton NLP group. She is also affiliated with the Princeton Center for Statistics, and was previously a visiting scientist at Facebook AI Research (FAIR) in Seattle. Her research interests include natural language processing and deep learning. Some of her current goals include building practical systems such as conversational agents and studying how human knowledge can be obtained from text and used in intelligent systems.
December 4, 2020 Princeton Data Science is co-hosting a virtual workshop this Friday with Princeton Students Against Gerrymandering! Come learn how to identify gerrymandering within US states using a data science technique called Monte Carlo simulation.
November 13, 2020 Princeton Data Science is hosting a data science research talk this coming Friday! Come learn about the intersection of environmental science, economics, machine learning, and big data. Princeton University Professor Michael Oppenheimer and his team will present their research on the effects of climate change and natural disasters (such as extreme heat, tropical cyclones) on human migration patterns. The presentation will provide an overview of how data science concepts are applied in real world research to a domain outside of typical data science fields.
Professor Oppenheimer is a professor in the Princeton School of Public and International Affairs and the Department of Geosciences. He came to Princeton after spending over 20 years with the Environmental Defense Fund, and is the author of over 200 articles and the co-author of two books relating to environmental science. He is also a winner of the 2010 Heinz Award and a long-time participant in the Intergovernmental Panel on Climate Change that won the Nobel Peace Prize in 2007. Professor Oppenheimer’s research interests include the risks and impacts of climate change, the risks from coastal storms, and patterns of human migration.
November 2, 2020 Come learn the basics of Python, pandas and sklearn as we apply two machine learning algorithms to analyze wildfire disasters such as those ongoing in the Western US.
September 25, 2020 Come learn the basics of Python, pandas and linear regression as we examine the spread of COVID-19 using data science tools. The workshop will be interactive with the opportunity for you to get your feet wet and write your own code.
March 6, 2020 Join us for a workshop analyzing Trump’s tweets with data science and using AI to generate Trump-like prose. We’ll teach you hands-on data science skills using Python. Afterwards, we’ll help you get started on working with a real-world dataset and applying your newfound data science skills.
Please do note that Princeton Data Science is a student organization and not a university department. Consequently, we do not sponsor PhD or Masters students.