Teaching kernel learning
Here’s a neat approach to teaching kernel learning (for empirical risk minimization), following section 2.2.6 of the book “First-order and Stochastic Optimization Methods for Machine Learning” by Guanghui Lan. Given the terse nature of this book, I did not expect to find such a straightforward pedagogical approach that I’ve not seen elsewhere. Let’s begin by … Continue reading Teaching kernel learning