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#132 What is Machine Learning?

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Manage episode 421640162 series 2709740
Content provided by David Kopec, Rebecca Kopec, David Kopec, and Rebecca Kopec. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Kopec, Rebecca Kopec, David Kopec, and Rebecca Kopec or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Machine Learning is a discipline within the broader field of Artificial Intelligence concerned with using insights from datasets to make predictions, classify new data points, and generate content. The algorithms used vary greatly in complexity and the real world applications that they are applicable to. Instead of concentrating on any particular algorithm, in this episode we aim to provide a broad understanding of machine learning and what it is used for. We also discuss bias in datasets and some common misconceptions.

You may want to listen to our prior episode on Artificial Intelligence before diving into this episode.

Show Notes

Follow us on X @KopecExplains.

Theme “Place on Fire” Copyright 2019 Creo, CC BY 4.0

Find out more at http://kopec.live

Read transcript


  continue reading

140 episodes

Artwork
iconShare
 
Manage episode 421640162 series 2709740
Content provided by David Kopec, Rebecca Kopec, David Kopec, and Rebecca Kopec. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Kopec, Rebecca Kopec, David Kopec, and Rebecca Kopec or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Machine Learning is a discipline within the broader field of Artificial Intelligence concerned with using insights from datasets to make predictions, classify new data points, and generate content. The algorithms used vary greatly in complexity and the real world applications that they are applicable to. Instead of concentrating on any particular algorithm, in this episode we aim to provide a broad understanding of machine learning and what it is used for. We also discuss bias in datasets and some common misconceptions.

You may want to listen to our prior episode on Artificial Intelligence before diving into this episode.

Show Notes

Follow us on X @KopecExplains.

Theme “Place on Fire” Copyright 2019 Creo, CC BY 4.0

Find out more at http://kopec.live

Read transcript


  continue reading

140 episodes

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