Upcoming Events
-
June 2-3, 2022 | DataX Workshop: Synthetic Control Methods
-
Presented by
- Matias Cattaneo - Professor, Operations Research and Financial Engineering
Past Workshops
-
May 13-14, 2022 | Tutorial Workshop on Machine Learning for Experimental Science
-
Presented by
- Michael Churchill - Staff Research Physicist, PPPL
- Hantao Ji - Professor, Astrophysical Sciences
- William Tang - Principal Research Physicist, PPPL
-
March 4, 2022 | Bridging the Gap Between Your Laptop and Cloud Computing
-
Presented by:
- Jose Garrido Torres, Data Scientist
- Vineet Bansal, Senior Research Scientist at Princeton Research Computing
-
January 12, 2022 | Catalysis DataX Data Scientist Jose Garrido Torres Wintersession Workshop: Data Visualization in Python
-
An introduction to effective data visualization in Python. Attendees will be exposed to several plotting packages in Python, along with how to integrate them with NumPy and Pandas. Other packages discussed include Matplotlib, Seaborn, and Plotly. Examples will include static and interactive 1D plots, 2D contour maps, heat maps, violin plots, and box plots.
Knowledge prerequisites: Participants should have reasonable facility with the Python programming language, including a basic familiarity with NumPy arrays and Pandas data frames. This session is not appropriate for those with no prior Python experience. However, no previous experience with Python plotting tools is required. -
January 11 & 13, 2022 | CITP DataX Data Scientist Pranay Anchuri Wintersession Workshop: Introduction to Blockchain and Decentralized Finance
-
An introduction to effective data visualization in Python. Attendees will be exposed to several plotting packages in Python, along with how to integrate them with NumPy and Pandas. Other packages discussed include Matplotlib, Seaborn, and Plotly. Examples will include static and interactive 1D plots, 2D contour maps, heat maps, violin plots, and box plots.
Knowledge prerequisites: Participants should have reasonable facility with the Python programming language, including a basic familiarity with NumPy arrays and Pandas data frames. This session is not appropriate for those with no prior Python experience. However, no previous experience with Python plotting tools is required.Wintersession is for University affiliates only.
-
January 11, 2022 | Catalysis DataX Data Scientist Andrzej Zuranski Introduction to Data Analysis using R
-
An introduction to data analysis using the R programming language aimed at people who have ever used R or RStudio before. It will briefly cover different facets of data analysis and their execution using basic R. The style is fairly hands-on, with participants executing the examples on their own laptops alongside the instructors. This workshop is ideal for those who are at the initial stages of doing independent research requiring quantitative analysis.
-
October 1, 2021 | Best Practices in Python Packaging
-
Presented by
- Brian Arnold - DataX Data Scientist
- Vineet Bansal - Senior Research Scientist at Princeton Research Computing
-
July 27 to August 4, 2021 | Deep Learning Theory Summer School
-
Presented by Boris Hanin, Assistant Professor at ORFE
-
April 9-10, 2021 | Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists Can Learn From Each Other
-
This 2-day virtual workshop explores social biases in machine learning and in human nature; what social scientists and computer scientists can learn from each other. We bring cutting-edge, innovative sociology, social psychology, cognitive science, and computer science perspectives on the interplay between stereotyping and human and artificial intelligence.
-
July 13-14, 2020 | Accelerating Molecular Simulations with Machine Learning
-
Presented by Roberto Car, Chemistry and Weinan E, Mathematics