27 min listen
LM101-079: Ch1: How to View Learning as Risk Minimization
LM101-079: Ch1: How to View Learning as Risk Minimization
ratings:
Length:
26 minutes
Released:
Dec 24, 2019
Format:
Podcast episode
Description
This particular podcast covers the material in Chapter 1 of my new (unpublished) book “Statistical Machine Learning: A unified framework”.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.
Released:
Dec 24, 2019
Format:
Podcast episode
Titles in the series (85)
LM101-022: How to Learn to Solve Large Constraint Satisfaction Problems: In this episode we discuss how to learn to solve constraint satisfaction inference problems. by Learning Machines 101