Episode 13

ML 013: Recommender Systems with Frank Kane


November 17th, 2020

48 mins 16 secs

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About this Episode

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.



  • Charles Max Wood
  • Gant Laborde
  • Daniel Svoboda
  • Beril Sirmacek


  • Frank Kane



Daniel Svoboda:

Beril Sirmacek:

Gant Laborde:

Charles Max Wood:

Frank Kane:

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