Related skills · check the marketing fit
Build and evaluate content/collaborative, matrix-factorization, neural and session-based recommenders, with Netflix/YouTube examples and production-scale methods. Technical recommendation training transfers to customer content/product…
Sundog Education by Frank Kane , Frank Kane , Sundog Education Team · Udemy
Build and evaluate content/collaborative, matrix-factorization, neural and session-based recommenders, with Netflix/YouTube examples and production-scale methods. Technical recommendation training transfers to customer content/product discovery
Selected published requirements: “Some experience with a programming or scripting language (preferably Python)”. “Some computer science background, and an ability to understand new algorithms”. See the provider page for the full requirements and current tool terms
Practice: The outline lists recommender-system quizzes and a programming exercise involving Boolean values and loops. One four-question check includes discussion of the answers
Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking
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