Adventures in Machine Learning

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

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ML 013: Recommender Systems with Frank Kane

Guests :

Frank Kane

Hosts :

Published : Nov 17, 2020

Duration : 48 Minutes

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

https://gabriellecrumley.com/

Picks

Daniel Svoboda:

Beril Sirmacek:

XAI course 2020 ~ Module2 ~ Introduction to AI & ML

Gant Laborde:

https://mlconf.eu/

Charles Max Wood:

Stroopwafel (dutch food)
https://www.podcastgrowthsummit.co/

Frank Kane:

Follow Adventures in Machine Learning on Twitter > @podcast_ml

Adventures in Machine Learning ML 013: Recommender Systems with Frank Kane
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ML 013: Recommender Systems with Frank Kane

Show Notes