LM101-079: Ch1: How to View Learning as Risk Minimization
Learning Machines 1012019年12月24日26分
LM101-079: Ch1: How to View Learning as Risk Minimization
Learning Machines 101
0:0026:07
このエピソードはアーカイブのため、日本語要約の対象外です。
番組の概要欄（原文）
This particular podcast covers the material in Chapter 1 of my new (unpublished) book "Statistical Machine Learning: A unified framework". In this episode we discuss Chapter 1 of my new book, which shows how supervised, unsupervised, and reinforcement learning algorithms can be viewed as special cases of a general empirical risk minimization framework. This is useful because it provides a framework for not only understanding existing algorithms but also for suggesting new algorithms for specific applications.