
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 2 of my new book "Statistical Machine Learning: A unified framework" with expected publication date May 2020. In this episode we discuss Chapter 2 of my new book, wh...
LM101-080: Ch2: How to Represent Knowledge using Set Theory is an episode from Learning Machines 101 by Richard M. Golden. This particular podcast covers the material in Chapter 2 of my new book "Statistical Machine Learning: A unified fram...
This episode belongs to Learning Machines 101.
Use the player on this page to stream the episode online.
Published Feb 29, 2020, 31:43 long, audio available.
This particular podcast covers the material in Chapter 2 of my new book "Statistical Machine Learning: A unified framework" with expected publication date May 2020. In this episode we discuss Chapter 2 of my new book, which discusses how to represent knowledge using set theory notation. Chapter 2 is titled "Set Theory for Concept Modeling".
You can listen to LM101-080: Ch2: How to Represent Knowledge using Set Theory online on Radio and Podcast. Open the player on this page to stream the available audio.
LM101-080: Ch2: How to Represent Knowledge using Set Theory is an episode from Learning Machines 101 by Richard M. Golden.
This episode is 31:43 long.
This episode was published on Feb 29, 2020.
Yes. Use the heart button on the episode page to add it to your favorite episodes list.
Yes. This page shows related episodes from Learning Machines 101 when more episodes are available from the podcast feed.
You can listen to LM101-080: Ch2: How to Represent Knowledge using Set Theory on this page when the episode audio is available from the podcast feed.
LM101-080: Ch2: How to Represent Knowledge using Set Theory is from Learning Machines 101 by Richard M. Golden.
Published Feb 29, 2020 and 31:43 long