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The Center for Statistics and Machine Learning is located at 26 Prospect Avenue.
Featured News
For her CSML independent work project, Ajeigbe decided to compare data from Predominantly White Institutions (PWIs) versus Historically Black College and Universities (HBCUs). She used pruned decision trees and OLS regression to uncover factors that would make a student more likely to stay in a STEM major and whether these factors changed depending on the institution, PWI or HBCU.
Featured Event
This workshop will get students started in data analysis using the pandas Python package. It will briefly cover different components of data analysis and connect them with the goal of extracting meaning from data. We will go over an example to illustrate the data analysis process from beginning to end.
Open Positions
The Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships. The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning.
Latest News
For her CSML independent work project, Ajeigbe decided to compare data from Predominantly White Institutions (PWIs) versus Historically Black College and Universities (HBCUs). She used pruned decision trees and OLS regression to uncover factors that would make a student more likely to stay in a STEM major and whether these factors changed depending on the institution, PWI or HBCU.
The Center for Statistics and Machine Learning’s (CSML) "Welcome Back" reception for undergraduate and graduate certificate students, researchers and faculty was a chance to mark the beginning of the academic year, catch up with colleagues, and strengthen ties within the campus data science community. The event was held on September 19th. Check the post for a slideshow of pictures.
The Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships. The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning.
For her CSML independent work project, Hannah To worked on a study to see how gangs in El Salvador impacted labor, and was advised by Thomas Fujiwara, associate professor of economics and international affairs. This project also fulfilled her senior thesis requirement.
Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website.
Upcoming Events
This workshop will get students started in data analysis using the pandas Python package. It will briefly cover different components of data analysis and connect them with the goal of extracting meaning from data. We will go over an example to illustrate the data analysis process from beginning to end.
Shifting attachments to social groups are a constant in the modern era.They are especially pronounced in the contemporary workplace. What accounts for variation in the strength of organizational identification?
This workshop provides an introduction to effective data visualization in Python. The training focuses on three plotting packages: Matplotlib, Seaborn and Plotly. Examples may include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The session may also touch on more advanced interactive plots.
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Discrimination is obvious to the people facing discrimination. Given this, do we even need quantitative studies to test if it exists? Regardless of the answer, quantitative studies such as ProPublica’s “Machine Bias” have had a galvanizing effect on racial justice, especially in the context of automated decision-making.