17 - Machine Learning With Limited Data: Transfer Learning

In this lecture I will show you how to handle machine learning problems where the training data is limited using transfer learning. This is the seventeenth lecture in the Machine Learning Toolkit module that follows the third chapter of the book "Applied Mathematics Toolkit: Modeling, Data, and Algorithms for Scientists and Engineers", which will be available at the end of 2026. Feel free to contact the authors Nan Chen or myself (Charlotte Moser) via email at [email protected] or [email protected] with any questions. More information about our work can be found at https://people.math.wisc.edu/~nchen29/ or https://sites.google.com/view/charlotte-moser.