Lecture 1.2: Regression, classification and loss functions

slides: dlvu.github.io

In the first lecture, we start by reviewing the basics. We expect you know these already, but it helps to review it, and to show what names and notation we use for things.

The second video of the lecture shows how we do classification and regression with neural networks, and what loss functions we use. While neural networks aren't that popular for classical machine learning, these loss functions are very important to understand.
We also touch on the maximum likelihood principle, which is the principle from which many of our loss functions are derived.

lecturer: Peter Bloem

Видео Lecture 1.2: Regression, classification and loss functions канала DLVU