DataX Workshop Series
Upcoming Events
- January 11 & 13, 2022 | CITP DataX Data Scientist Pranay Anchuri Wintersession Workshop: Introduction to Blockchain and Decentralized Finance
This is a two-part Princeton University Wintersession workshop January 11 and 13, 2022 from 1 p.m. to 3 p.m. in which Anchuri will discuss Bitcoin’s history and how it works. Anchuri will also feature in these workshops the rise of Ethereum, a programmable blockchain, and the type of applications that can be developed in the Ethereum ecosystem.
The workshop is open to all Princeton University members and undergraduates are encouraged to enroll.
For more information and to register for the workshops:
- 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.Wintersession is for University affiliates only.
Register Here: https://cglink.me/2gi/r1340953
- April 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
- June 2-3, 2022 | DataX Workshop: Synthetic Control Methods
Presented by
- Matias Cattaneo - Professor, Operations Research and Financial Engineering
Past Workshops
- 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