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

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ML 013: Recommender Systems with Frank Kane

Podcast |: Adventures in Machine Learning
Publisher |: Top End Devs
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Education,; How To,; Technology
Publication Date |: Nov 17, 2020
Episode Duration |: 00:48:16

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.