Note: You will be automatically registered for Part 2.

Artificial intelligence/machine learning is transforming our world and opening new horizons for research. This 2-part workshop offers an introduction to neural networks, the core technology underlying modern AI, without assuming calculus/linear algebra or prior experience with coding. The emphasis will be on understanding the fundamentals of how a neural network learns to perform various tasks. All are welcome to attend including those outside of the humanities and social sciences.

Meet the Facilitator

Sarah-Jane Leslie, Professor of Philosophy and the Center for Statistics and Machine Learning, and Co-Director of Natural and Artificial Minds

After the Workshop

Continue your study of machine learning by attending these workshops:

A Hands-On Introduction to Machine Learning (Parts 1, 2, 3 & 4) on January 15, 16, 17, 21
Getting Started with Large Language Models with Princeton Language and Intelligence (Parts 1 & 2) on January 22 & 23
Graph Neural Networks for Your Research on January 22
Machine Learning for the Physical Sciences on January 22

Sponsorship

This workshop is co-sponsored by Natural and Artificial Minds, the Center for Statistics and Machine Learning, and the Princeton Institute for Computational Science and Engineering.

More Training Workshops

See the entire PICSciE/RC Wintersession 2025 training program.

Accomodations

To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.