ML 013: Recommender Systems with Frank Kane
11.17.2020 - By Adventures in Machine Learning
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
Machine Learning for Software Engineers by Educative.io
Audible.com
CacheFly
Panel
Charles Max Wood
Gant Laborde
Daniel Svoboda
Beril Sirmacek
Guest
Frank Kane
Links
https://gabriellecrumley.com/
Picks
Daniel Svoboda:
Silicon Valley
machinelearningmastery.com
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:
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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