Adventures in Machine Learning
ML 013: Recommender Systems with Frank Kane
In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, & Charles Wood talk with Frank Kane about recommender systems.
November 17, 2020
48:16
Episode 013
Special Guests
ML 013: Recommender Systems with Frank Kane
Adventures in Machine Learning
48:16
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48:16
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Show Notes
In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, & Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems.
Sponsors
Panel
- Charles Max Wood
- Gant Laborde
- Daniel Svoboda
- Beril Sirmacek
Guest
- Frank Kane
Links
Picks
Daniel Svoboda:
Beril Sirmacek:
Gant Laborde:
Charles Max Wood:
- Stroopwafel (dutch food)
- https://www.podcastgrowthsummit.co/
Frank Kane:
- https://sundog-education.com/
- datascience.com
- Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe
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