understanding-uncertainty

This website contains course materials for the Understanding Uncertainty course, which is a part of the US-Israel Academic Bridge Fellowship hosted at the University of Pennsylvania.

Something from DALL-E’s imagination

About the course

This course provides an introduction to statistics with an emphasis on building intuition about uncertainty in data analysis and decision-making. The course is structured around thinking critically about data generating processes (i.e. the random, real-world phenomena that produce data) and how to model them computationally.

About the author

Joey Rudoler is a PhD student in the Department of Statistics and Data Science at the Wharton School of the University of Pennsylvania. His research focuses on statistical aspects of machine learning, in particular theory for deep learning. He has a background in physics and neuroscience, and remains interested in the intersection of statistics, machine learning, and neuroscience.