
LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
Jul 20, 2021 - 35:29
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This particular podcast covers the material in Chapter 1 of my new (unpublished) book "Statistical Machine Learning: A unified framework".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,...
LM101-079: Ch1: How to View Learning as Risk Minimization is an episode from Learning Machines 101 by Richard M. Golden. This particular podcast covers the material in Chapter 1 of my new (unpublished) book "Statistical Machine Learning: A...
This episode belongs to Learning Machines 101.
Use the player on this page to stream the episode online.
Published Dec 24, 2019, 26:07 long, audio available.
This particular podcast covers the material in Chapter 1 of my new (unpublished) book "Statistical Machine Learning: A unified framework".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.
You can listen to LM101-079: Ch1: How to View Learning as Risk Minimization online on Radio and Podcast. Open the player on this page to stream the available audio.
LM101-079: Ch1: How to View Learning as Risk Minimization is an episode from Learning Machines 101 by Richard M. Golden.
This episode is 26:07 long.
This episode was published on Dec 24, 2019.
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Yes. This page shows related episodes from Learning Machines 101 when more episodes are available from the podcast feed.
You can listen to LM101-079: Ch1: How to View Learning as Risk Minimization on this page when the episode audio is available from the podcast feed.
LM101-079: Ch1: How to View Learning as Risk Minimization is from Learning Machines 101 by Richard M. Golden.
Published Dec 24, 2019 and 26:07 long