3 posts tagged with "probability"

Variational inference in a method to approximate the posterior $p(\mathbf{z}\vert\mathbf{x})$. This is a key technique for Variational AutoEncoder, one of the most famous generative model.

Machine learning(ML) defines a loss function and optimizes its model to minimize the loss. Since ML is based on probability theory and statistics, it is reasonable to interpret the loss function from a statistical perspective.

Machine learning(ML) is an approach to learn some pattern of data, and leverage it to predict properties of unseen data. The same statement is valid for statistics. This is because the essence of ML theory comes from statistics. In this post, I will explain how to introduce probabilistic models and statistics to ML problems.